CINXE.COM

<!DOCTYPE html> <html lang="en" dir="ltr"> <head>  <script async src="https://www.googletagmanager.com/gtag/js?id=G-P63WKM1TM1"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-P63WKM1TM1'); </script>  <script type="text/javascript" > (function(m,e,t,r,i,k,a){m[i]=m[i]||function(){(m[i].a=m[i].a||[]).push(arguments)}; m[i].l=1*new Date(); for (var j = 0; j < document.scripts.length; j++) {if (document.scripts[j].src === r) { return; }} k=e.createElement(t),a=e.getElementsByTagName(t)[0],k.async=1,k.src=r,a.parentNode.insertBefore(k,a)}) (window, document, "script", "https://mc.yandex.ru/metrika/tag.js", "ym"); ym(55165297, "init", { clickmap:false, trackLinks:true, accurateTrackBounce:true, webvisor:false }); </script> <noscript><div><img src="https://mc.yandex.ru/watch/55165297" style="position:absolute; left:-9999px;" alt="" /></div></noscript>    <title>Search results for: technology intelligence</title> <meta name="description" content="Search results for: technology intelligence"> <meta name="keywords" content="technology intelligence"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler ml-auto" type="button" data-toggle="collapse" data-target="#navbarMenu" aria-controls="navbarMenu" aria-expanded="false" aria-label="Toggle navigation"> <span class="navbar-toggler-icon"></span> </button> <div class="w-100"> <div class="d-none d-lg-flex flex-row-reverse"> <form method="get" action="https://waset.org/search" class="form-inline my-2 my-lg-0"> <input class="form-control mr-sm-2" type="search" placeholder="Search Conferences" value="technology intelligence" name="q" aria-label="Search"> <button class="btn btn-light my-2 my-sm-0" type="submit"><i class="fas fa-search"></i></button> </form> </div> <div class="collapse navbar-collapse mt-1" id="navbarMenu"> <ul class="navbar-nav ml-auto align-items-center" id="mainNavMenu"> <li class="nav-item"> <a class="nav-link" href="https://waset.org/conferences" title="Conferences in 2024/2025/2026">Conferences</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/disciplines" title="Disciplines">Disciplines</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/committees" rel="nofollow">Committees</a> </li> <li class="nav-item dropdown"> <a class="nav-link dropdown-toggle" href="#" id="navbarDropdownPublications" role="button" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false"> Publications </a> <div class="dropdown-menu" aria-labelledby="navbarDropdownPublications"> <a class="dropdown-item" href="https://publications.waset.org/abstracts">Abstracts</a> <a class="dropdown-item" href="https://publications.waset.org">Periodicals</a> <a class="dropdown-item" href="https://publications.waset.org/archive">Archive</a> </div> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/page/support" title="Support">Support</a> </li> </ul> </div> </div> </nav> </div> </header> <main> <div class="container mt-4"> <div class="row"> <div class="col-md-9 mx-auto"> <form method="get" action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="technology intelligence"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 8900</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: technology intelligence</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8660</span> The Application of AI in Developing Assistive Technologies for Non-Verbal Individuals with Autism</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ferah%20Tesfaye%20Admasu">Ferah Tesfaye Admasu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Autism Spectrum Disorder (ASD) often presents significant communication challenges, particularly for non-verbal individuals who struggle to express their needs and emotions effectively. Assistive technologies (AT) have emerged as vital tools in enhancing communication abilities for this population. Recent advancements in artificial intelligence (AI) hold the potential to revolutionize the design and functionality of these technologies. This study explores the application of AI in developing intelligent, adaptive, and user-centered assistive technologies for non-verbal individuals with autism. Through a review of current AI-driven tools, including speech-generating devices, predictive text systems, and emotion-recognition software, this research investigates how AI can bridge communication gaps, improve engagement, and support independence. Machine learning algorithms, natural language processing (NLP), and facial recognition technologies are examined as core components in creating more personalized and responsive communication aids. The study also discusses the challenges and ethical considerations involved in deploying AI-based AT, such as data privacy and the risk of over-reliance on technology. Findings suggest that integrating AI into assistive technologies can significantly enhance the quality of life for non-verbal individuals with autism, providing them with greater opportunities for social interaction and participation in daily activities. However, continued research and development are needed to ensure these technologies are accessible, affordable, and culturally sensitive. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title="artificial intelligence">artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=autism%20spectrum%20disorder" title=" autism spectrum disorder"> autism spectrum disorder</a>, <a href="https://publications.waset.org/abstracts/search?q=non-verbal%20communication" title=" non-verbal communication"> non-verbal communication</a>, <a href="https://publications.waset.org/abstracts/search?q=assistive%20technology" title=" assistive technology"> assistive technology</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a> </p> <a href="https://publications.waset.org/abstracts/192336/the-application-of-ai-in-developing-assistive-technologies-for-non-verbal-individuals-with-autism" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/192336.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">19</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8659</span> Artificial Intelligence Impact on Strategic Stability</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Darius%20Jakimavicius">Darius Jakimavicius</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Artificial intelligence is the subject of intense debate in the international arena, identified both as a technological breakthrough and as a component of the strategic stability effect. Both the kinetic and non-kinetic development of AI and its application in the national strategies of the great powers may trigger a change in the security situation. Artificial intelligence is generally faster, more capable and more efficient than humans, and there is a temptation to transfer decision-making and control responsibilities to artificial intelligence. Artificial intelligence, which, once activated, can select and act on targets without further intervention by a human operator, blurs the boundary between human or robot (machine) warfare, or perhaps human and robot together. Artificial intelligence acts as a force multiplier that speeds up decision-making and reaction times on the battlefield. The role of humans is increasingly moving away from direct decision-making and away from command and control processes involving the use of force. It is worth noting that the autonomy and precision of AI systems make the process of strategic stability more complex. Deterrence theory is currently in a phase of development in which deterrence is undergoing further strain and crisis due to the complexity of the evolving models enabled by artificial intelligence. Based on the concept of strategic stability and deterrence theory, it is appropriate to develop further research on the development and impact of AI in order to assess AI from both a scientific and technical perspective: to capture a new niche in the scientific literature and academic terminology, to clarify the conditions for deterrence, and to identify the potential uses, impacts and possibly quantities of AI. The research problem is the impact of artificial intelligence developed by great powers on strategic stability. This thesis seeks to assess the impact of AI on strategic stability and deterrence principles, with human exclusion from the decision-making and control loop as a key axis. The interaction between AI and human actions and interests can determine fundamental changes in great powers' defense and deterrence, and the development and application of AI-based great powers strategies can lead to a change in strategic stability. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20inteligence" title="artificial inteligence">artificial inteligence</a>, <a href="https://publications.waset.org/abstracts/search?q=strategic%20stability" title=" strategic stability"> strategic stability</a>, <a href="https://publications.waset.org/abstracts/search?q=deterrence%20theory" title=" deterrence theory"> deterrence theory</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20making%20loop" title=" decision making loop"> decision making loop</a> </p> <a href="https://publications.waset.org/abstracts/186282/artificial-intelligence-impact-on-strategic-stability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/186282.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">42</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8658</span> Creativity, Skill, and Intelligence as Understood by Tradition Rooted Craftspersons</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Swasti%20Singh%20Ghai">Swasti Singh Ghai</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Creativity is understood as an intersubjective phenomenon shaped by socio-cultural values and economic forces. Creativity as a means to achieve progress is a very modern concept, driven by a global capitalist market economy. The dominant urban, often first-world articulations of creativity, overshadow the rural, local and cultural notions of people in the developing nations. Artisanal practices of making grounded in preindustrial and pre-capitalist contexts hold varying cultural and region-specific concepts and standards for ascribing creativity to a person or product, or process. These notions reflect the underlying philosophy that constitutes their worldview. The process of colonization through western education has blurred or overlapped some of these key philosophical concepts. This article adopts a post-colonial stance to understand the perceptions of skill, intelligence and creativity among tradition rooted textile craft practitioners of Kutch, Gujarat in India. The artisans, while negotiating their space in the contemporary markets, are making efforts to include the modern categories of art, craft, and design in their worldview. The paper will first review theories of creativity that throw light on the link between skill, intelligence and creativity. Then the paper will use secondary research and data from interviews to share crafts person notions of skill, creativity and intelligence and their interrelationship. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=traditional%20craft" title="traditional craft">traditional craft</a>, <a href="https://publications.waset.org/abstracts/search?q=textile" title=" textile"> textile</a>, <a href="https://publications.waset.org/abstracts/search?q=creativity" title=" creativity"> creativity</a>, <a href="https://publications.waset.org/abstracts/search?q=skill" title=" skill"> skill</a>, <a href="https://publications.waset.org/abstracts/search?q=intelligence" title=" intelligence"> intelligence</a> </p> <a href="https://publications.waset.org/abstracts/150247/creativity-skill-and-intelligence-as-understood-by-tradition-rooted-craftspersons" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/150247.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">125</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8657</span> Application of Artificial Intelligence in EOR </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Masoumeh%20Mofarrah">Masoumeh Mofarrah</a>, <a href="https://publications.waset.org/abstracts/search?q=Amir%20NahanMoghadam"> Amir NahanMoghadam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Higher oil prices and increasing oil demand are main reasons for great attention to Enhanced Oil Recovery (EOR). Comprehensive researches have been accomplished to develop, appraise, and improve EOR methods and their application. Recently, Artificial Intelligence (AI) gained popularity in petroleum industry that can help petroleum engineers to solve some fundamental petroleum engineering problems such as reservoir simulation, EOR project risk analysis, well log interpretation and well test model selection. This study presents a historical overview of most popular AI tools including neural networks, genetic algorithms, fuzzy logic, and expert systems in petroleum industry and discusses two case studies to represent the application of two mentioned AI methods for selecting an appropriate EOR method based on reservoir characterization infeasible and effective way. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title="artificial intelligence">artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=EOR" title=" EOR"> EOR</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20networks" title=" neural networks"> neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=expert%20systems" title=" expert systems"> expert systems</a> </p> <a href="https://publications.waset.org/abstracts/13143/application-of-artificial-intelligence-in-eor" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13143.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">488</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8656</span> The Impact of Artificial Intelligence on Digital Construction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Omil%20Nady%20Mahrous%20Maximous">Omil Nady Mahrous Maximous</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The construction industry is currently experiencing a shift towards digitisation. This transformation is driven by adopting technologies like Building Information Modelling (BIM), drones, and augmented reality (AR). These advancements are revolutionizing the process of designing, constructing, and operating projects. BIM, for instance, is a new way of communicating and exploiting technology such as software and machinery. It enables the creation of a replica or virtual model of buildings or infrastructure projects. It facilitates simulating construction procedures, identifying issues beforehand, and optimizing designs accordingly. Drones are another tool in this revolution, as they can be utilized for site surveys, inspections, and even deliveries. Moreover, AR technology provides real-time information to workers involved in the project. Implementing these technologies in the construction industry has brought about improvements in efficiency, safety measures, and sustainable practices. BIM helps minimize rework and waste materials, while drones contribute to safety by reducing workers' exposure to areas. Additionally, AR plays a role in worker safety by delivering instructions and guidance during operations. Although the digital transformation within the construction industry is still in its early stages, it holds the potential to reshape project delivery methods entirely. By embracing these technologies, construction companies can boost their profitability while simultaneously reducing their environmental impact and ensuring safer practices. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=architectural%20education" title="architectural education">architectural education</a>, <a href="https://publications.waset.org/abstracts/search?q=construction%20industry" title=" construction industry"> construction industry</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20learning%20environments" title=" digital learning environments"> digital learning environments</a>, <a href="https://publications.waset.org/abstracts/search?q=immersive%20learning%20BIM" title=" immersive learning BIM"> immersive learning BIM</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20construction" title=" digital construction"> digital construction</a>, <a href="https://publications.waset.org/abstracts/search?q=construction%20technologies" title=" construction technologies"> construction technologies</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20transformation%20artificial%20intelligence" title=" digital transformation artificial intelligence"> digital transformation artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=collaboration" title=" collaboration"> collaboration</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20architecture" title=" digital architecture"> digital architecture</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20design%20theory" title=" digital design theory"> digital design theory</a>, <a href="https://publications.waset.org/abstracts/search?q=material%20selection" title=" material selection"> material selection</a>, <a href="https://publications.waset.org/abstracts/search?q=space%20construction" title=" space construction"> space construction</a> </p> <a href="https://publications.waset.org/abstracts/185395/the-impact-of-artificial-intelligence-on-digital-construction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/185395.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">58</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8655</span> Personal Factors and Career Adaptability in a Call Centre Work Environment: The Mediating Effects of Professional Efficacy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nisha%20Harry">Nisha Harry</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study discussed in this article sought to assess whether a sense of professional efficacy mediates the relationship between personal factors and career adaptability. A quantitative cross-sectional survey approach was followed. A non–probability sample of (N = 409) of which predominantly early career and permanently employed black females in call centres in Africa participated in this study. In order to assess personal factors, the participants completed sense of meaningfulness and emotional intelligence measures. Measures of professional efficacy and career adaptability were also completed. The results of the mediational analysis revealed that professional efficacy significantly mediates the meaningfulness (sense of coherence) and career adaptability relationship, but not the emotional intelligence–career adaptability relationship. Call centre agents with professional efficacy are likely to be more work engaged as a result of their sense of meaningfulness and emotional intelligence. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=call%20centre" title="call centre">call centre</a>, <a href="https://publications.waset.org/abstracts/search?q=professional%20efficacy" title=" professional efficacy"> professional efficacy</a>, <a href="https://publications.waset.org/abstracts/search?q=career%20adaptability" title=" career adaptability"> career adaptability</a>, <a href="https://publications.waset.org/abstracts/search?q=emotional%20intelligence" title=" emotional intelligence"> emotional intelligence</a> </p> <a href="https://publications.waset.org/abstracts/62810/personal-factors-and-career-adaptability-in-a-call-centre-work-environment-the-mediating-effects-of-professional-efficacy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62810.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">358</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8654</span> Artificial Intelligence Approach to Manage Human Resources Information System Process in the Construction Industry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Emad%20Ahmed">Ahmed Emad Ahmed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper aims to address the concept of human resources information systems (HRIS) and how to link it to new technologies such as artificial intelligence (AI) to be implemented in two human resources processes. A literature view has been collected to cover the main points related to HRIS, AI, and BC. A study case has been presented by generating a random HRIS to apply some AI operations to it. Then, an algorithm was applied to the database to complete some human resources processes, including training and performance appraisal, using a pre-trained AI model. After that, outputs and results have been presented and discussed briefly. Finally, a conclusion has been introduced to show the ability of new technologies such as AI and ML to be applied to the human resources management processes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=human%20resources%20new%20technologies" title="human resources new technologies">human resources new technologies</a>, <a href="https://publications.waset.org/abstracts/search?q=HR%20artificial%20intelligence" title=" HR artificial intelligence"> HR artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=HRIS%20AI%20models" title=" HRIS AI models"> HRIS AI models</a>, <a href="https://publications.waset.org/abstracts/search?q=construction%20AI%20HRIS" title=" construction AI HRIS"> construction AI HRIS</a> </p> <a href="https://publications.waset.org/abstracts/156921/artificial-intelligence-approach-to-manage-human-resources-information-system-process-in-the-construction-industry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/156921.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">170</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8653</span> A Study of Emotional Intelligence and Adjustment of Senior Secondary School Students in District Karnal, Haryana, India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rooma%20Rani">Rooma Rani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The education is really important for the improvement of physical and mental well-being of the school students. It is used to express inner potential, acquire knowledge, develop skills, shape habits, attitudes, values, belief, etc. along with providing strengths and resilience to people to changing situations and allowing them to develop all those capacities which will enable individual to control surrounding environment. Education has a significant effect on the behavior of individuals which helps us in the new situations of everyday life. Educating the child is directing the child’s capacities, attitudes interest, urges, and needs into the most desirable channels. We are the part of 21st century and now a day emotional intelligence is considered more important than intelligence in the success of a person. Success depends on several intelligences and on the control of emotions too. Emotional Intelligence, like general intelligence is the product of one’s heredity and its interaction with his environmental forces. There are certain methods evolved in modern researches. Keeping in view the nature and purpose of the study, the descriptive survey method is preferred. This method is one of the important methods in education research because it describes the current position of the phenomenon under study. The term descriptive survey is generally used for the type of research which proposes to condition of practices of the present time. In the present study, a systematically random sampling method was used to select a representative sample. 50 students were selected from 2 schools. Out of 50 students, 25 were boys and 25 were girls. In the study, a) it has been found a significant difference in the level of adjustment between male and female students; b) it has been found a non-significant difference in the level of emotional intelligence between male and female students; c) it has been found a non-significant relationship between adjustment and emotional intelligence among male students; d) it has been found a significant relationship between adjustment and emotional intelligence among male students. The results of the study indicated that amongst the students those who possess high scores on emotional intelligence tests are high in level of adjustment. Measures should be adopted to improve and sustain the emotional intelligence level of students throughout their studies. Adolescent students are prone to many problems like physical, social and psychological. They need a congenial home atmosphere so that they grow into full-fledged citizens of our country. After understanding these, it helps in the development of personality which leads to a better learning situation and better thinking capacities, in turn, enhances adjustment and achievement along with a better perception of self. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adjustment" title="adjustment">adjustment</a>, <a href="https://publications.waset.org/abstracts/search?q=education" title=" education"> education</a>, <a href="https://publications.waset.org/abstracts/search?q=emotional%20intelligence" title=" emotional intelligence"> emotional intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=students" title=" students"> students</a> </p> <a href="https://publications.waset.org/abstracts/96043/a-study-of-emotional-intelligence-and-adjustment-of-senior-secondary-school-students-in-district-karnal-haryana-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/96043.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">131</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8652</span> Exploring the Impact of Artificial Intelligence (AI) in the Context of English as a Foreign Language (EFL): A Comprehensive Bibliometric Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kate%20Benedicta%20Amenador">Kate Benedicta Amenador</a>, <a href="https://publications.waset.org/abstracts/search?q=Dianjian%20Wang"> Dianjian Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Bright%20Nkrumah"> Bright Nkrumah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This extensive bibliometric study explores the dynamic influence of artificial intelligence in the field of English as a Foreign Language (EFL) between 2012 and 2024. The study, which examined 4,500 articles from Google Scholar, Modern Language Association Linguistics Abstracts, Web of Science, Scopus, Researchgate, and library genesis databases, indicates that AI integration in EFL is on the rise. This notable increase is ascribed to a variety of transformative events, including increased academic funding for higher education and the COVID-19 epidemic. The results of the study identify leading contributors, prominent authors, publishers and sources, with the United States, China and the United Kingdom emerging as key contributors. The co-occurrence analysis of key terms reveals five clusters highlighting patterns in AI-enhanced language instruction and learning, including evaluation strategies, educational technology, learning motivation, EFL teaching aspects, and learner feedback. The study also discusses the impact of various AIs in enhancing EFL writing skills with software such as Grammarly, Quilbot, and Chatgpt. The current study recognizes limitations in database selection and linguistic constraints. Nevertheless, the results provide useful insights for educators, researchers and policymakers, inspiring and guiding a cross-disciplinary collaboration and creative pedagogical techniques and approaches to teaching and learning in the future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title="artificial intelligence">artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=bibliometrics%20study" title=" bibliometrics study"> bibliometrics study</a>, <a href="https://publications.waset.org/abstracts/search?q=VOSviewer%20visualization" title=" VOSviewer visualization"> VOSviewer visualization</a>, <a href="https://publications.waset.org/abstracts/search?q=English%20as%20a%20foreign%20language" title=" English as a foreign language"> English as a foreign language</a> </p> <a href="https://publications.waset.org/abstracts/190537/exploring-the-impact-of-artificial-intelligence-ai-in-the-context-of-english-as-a-foreign-language-efl-a-comprehensive-bibliometric-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/190537.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">32</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8651</span> The Usage of Artificial Intelligence in Instagram</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alanod%20Alqasim">Alanod Alqasim</a>, <a href="https://publications.waset.org/abstracts/search?q=Yasmine%20Iskandarani"> Yasmine Iskandarani</a>, <a href="https://publications.waset.org/abstracts/search?q=Sita%20Algethami"> Sita Algethami</a>, <a href="https://publications.waset.org/abstracts/search?q=Jawaher%20alzughaiby"> Jawaher alzughaiby</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study focuses on the usage of AI (Artificial Intelligence) systems and features on the Instagram application and how it influences user experience and satisfaction. The aim is to evaluate the techniques and current capabilities, restrictions, and potential future directions of AI in an Instagram application. Following a concise explanation of the core concepts underlying AI usage on Instagram. To answer this question, 19 randomly selected users were asked to complete a 9-question survey on their experience and satisfaction with the app's features (Filters, user preferences, translation tool) and authenticity. The results revealed that there were three prevalent allegations. These declarations include that Instagram has an extremely attractive user interface; secondly, Instagram creates a strong sense of community; and lastly, Instagram has an important influence on mental health. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=AI%20%28Artificial%20Intelligence%29" title="AI (Artificial Intelligence)">AI (Artificial Intelligence)</a>, <a href="https://publications.waset.org/abstracts/search?q=instagram" title=" instagram"> instagram</a>, <a href="https://publications.waset.org/abstracts/search?q=features" title=" features"> features</a>, <a href="https://publications.waset.org/abstracts/search?q=satisfaction" title=" satisfaction"> satisfaction</a>, <a href="https://publications.waset.org/abstracts/search?q=experience" title=" experience"> experience</a> </p> <a href="https://publications.waset.org/abstracts/167566/the-usage-of-artificial-intelligence-in-instagram" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/167566.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">82</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8650</span> AI-Based Technologies for Improving Patient Safety and Quality of Care</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tewelde%20Gebreslassie%20Gebreanenia">Tewelde Gebreslassie Gebreanenia</a>, <a href="https://publications.waset.org/abstracts/search?q=Frie%20Ayalew%20Yimam"> Frie Ayalew Yimam</a>, <a href="https://publications.waset.org/abstracts/search?q=Seada%20Hussen%20Adem"> Seada Hussen Adem</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Patient safety and quality of care are essential goals of health care delivery, but they are often compromised by human errors, system failures, or resource constraints. In a variety of healthcare contexts, artificial intelligence (AI), a quickly developing field, can provide fresh approaches to enhancing patient safety and treatment quality. Artificial Intelligence (AI) has the potential to decrease errors and enhance patient outcomes by carrying out tasks that would typically require human intelligence. These tasks include the detection and prevention of adverse events, monitoring and warning patients and clinicians about changes in vital signs, symptoms, or risks, offering individualized and evidence-based recommendations for diagnosis, treatment, or prevention, and assessing and enhancing the effectiveness of health care systems and services. This study examines the state-of-the-art and potential future applications of AI-based technologies for enhancing patient safety and care quality, as well as the opportunities and problems they present for patients, policymakers, researchers, and healthcare providers. In order to ensure the safe, efficient, and responsible application of AI in healthcare, the paper also addresses the ethical, legal, social, and technical challenges that must be addressed and regulated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title="artificial intelligence">artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20care" title=" health care"> health care</a>, <a href="https://publications.waset.org/abstracts/search?q=human%20intelligence" title=" human intelligence"> human intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=patient%20safty" title=" patient safty"> patient safty</a>, <a href="https://publications.waset.org/abstracts/search?q=quality%20of%20care" title=" quality of care"> quality of care</a> </p> <a href="https://publications.waset.org/abstracts/179023/ai-based-technologies-for-improving-patient-safety-and-quality-of-care" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/179023.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">78</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8649</span> Cognitive and Environmental Factors Affecting Graduate Student Perception of Mathematics</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Juanita%20Morris">Juanita Morris</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this study will examine the mediating relationships between the theories of intelligence, mathematics anxiety, gender stereotype threat, meta-cognition and math performance through the use of eye tracking technology, affecting student perception and problem-solving abilities. The participants will consist of (N=80) female graduate students. Test administered were the Abbreviated Math Anxiety Scale, Tobii Eye Tracking software, gender stereotype threat through Google images, and they will be asked to describe their problem-solving approach allowed to measure metacognition. Participants will be administered mathematics problems while having gender stereotype threat shown to them through online images while being directed to look at the eye tracking software Tobii. We will explore this by asking ‘Is mathematics anxiety associated with the theories of intelligence and gender stereotype threat and how does metacognition and math performance place a role in mediating those perspectives?’. It is hypothesized that math-anxious students are more likely affected by the gender stereotype threat and that may play a role in their performance? Furthermore, we also want to explore whether math anxious students are more likely to be an entity theorist than incremental theorist and whether those who are math anxious will be more likely to be fixated on variables associated with coefficients? Path analysis and independent samples t-test will be used to generate results for this study. We hope to conclude that both the theories of intelligence and metacognition mediate the relationship between mathematics anxiety and gender stereotype threat. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=math%20anxiety" title="math anxiety">math anxiety</a>, <a href="https://publications.waset.org/abstracts/search?q=emotions" title=" emotions"> emotions</a>, <a href="https://publications.waset.org/abstracts/search?q=affective%20domains%20fo%20learning" title=" affective domains fo learning"> affective domains fo learning</a>, <a href="https://publications.waset.org/abstracts/search?q=cognitive%20underlinings" title=" cognitive underlinings"> cognitive underlinings</a> </p> <a href="https://publications.waset.org/abstracts/90022/cognitive-and-environmental-factors-affecting-graduate-student-perception-of-mathematics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/90022.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">269</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8648</span> When does technology alignment influence supply chain performance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Joseph%20Akyeh">Joseph Akyeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdul%20Samed%20Muntaka"> Abdul Samed Muntaka</a>, <a href="https://publications.waset.org/abstracts/search?q=Emmanuel%20Anin"> Emmanuel Anin</a>, <a href="https://publications.waset.org/abstracts/search?q=Dorcas%20Nuertey"> Dorcas Nuertey</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Purpose: This study develops and tests arguments that the relationship between technology alignment and supply chain performance is conditional upon levels of technology championing. Methodology: The proposed relationships are tested on a sample of 217 hospitals in a major sub-Saharan African economy. Findings: Findings from the study indicate that technology alignment has a positive and significant effect on supply chain performance. The study further finds that while technology championing strengthens the direct effects of technology alignment on supply chain performance. Theoretical Contributions: A theoretical contribution from this study is the finding that when technology alignment drives supply chain performance is more complex than previously thought it depends on whether or not technology alignment is first championed by top management. Originality: Though some studies have been conducted on technology alignment and health supply chain performance, to the best of the researcher’s knowledge, no previous study has examined the moderating role of technology championing the link between technology alignment and supply chain performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=technology%20alignment" title="technology alignment">technology alignment</a>, <a href="https://publications.waset.org/abstracts/search?q=supply%20chain%20performance" title=" supply chain performance"> supply chain performance</a>, <a href="https://publications.waset.org/abstracts/search?q=technology%20championing" title=" technology championing"> technology championing</a>, <a href="https://publications.waset.org/abstracts/search?q=structural%20equation%20modelling" title=" structural equation modelling"> structural equation modelling</a> </p> <a href="https://publications.waset.org/abstracts/186079/when-does-technology-alignment-influence-supply-chain-performance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/186079.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">50</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8647</span> Internet Economy: Enhancing Information Communication Technology Adaptation, Service Delivery, Content and Digital Skills for Small Holder Farmers in Uganda</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Baker%20Ssekitto">Baker Ssekitto</a>, <a href="https://publications.waset.org/abstracts/search?q=Ambrose%20Mbogo"> Ambrose Mbogo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study reveals that indeed agriculture employs over 70% of Uganda’s population, of which majority are youth and women. The study further reveals that over 70% of the farmers are smallholder farmers based in rural areas, whose operations are greatly affected by; climate change, weak digital skills, limited access to productivity knowledge along value chains, limited access to quality farm inputs, weak logistics systems, limited access to quality extension services, weak business intelligence, limited access to quality markets among others. It finds that the emerging 4th industrial revolution powered by artificial intelligence, 5G and data science will provide possibilities of addressing some of these challenges. Furthermore, the study finds that despite rapid development of ICT4Agric Innovation, their uptake is constrained by a number of factors including; limited awareness of these innovations, low internet and smart phone penetration especially in rural areas, lack of appropriate digital skills, inappropriate programmes implementation models which are project and donor driven, limited articulation of value addition to various stakeholders among others. Majority of farmers and other value chain actors lacked knowledge and skills to harness the power of ICTs, especially their application of ICTs in monitoring and evaluation on quality of service in the extension system and farm level processes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title="artificial intelligence">artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=productivity" title=" productivity"> productivity</a>, <a href="https://publications.waset.org/abstracts/search?q=ICT4agriculture" title=" ICT4agriculture"> ICT4agriculture</a>, <a href="https://publications.waset.org/abstracts/search?q=value%20chain" title=" value chain"> value chain</a>, <a href="https://publications.waset.org/abstracts/search?q=logistics" title=" logistics"> logistics</a> </p> <a href="https://publications.waset.org/abstracts/148889/internet-economy-enhancing-information-communication-technology-adaptation-service-delivery-content-and-digital-skills-for-small-holder-farmers-in-uganda" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148889.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">78</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8646</span> A Review: Artificial Intelligence (AI) Driven User Access Management and Identity Governance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rupan%20Preet%20Kaur">Rupan Preet Kaur</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This article reviewed the potential of artificial intelligence in the field of identity and access management (IAM) and identity governance and administration (IGA), the most critical pillars of any organization. The power of leveraging AI in the most complex and huge user base environment was outlined by simplifying and streamlining the user access approvals and re-certifications without any impact on the user productivity and at the same time strengthening the overall compliance of IAM landscape. Certain challenges encountered in the current state were detailed where majority of organizations are still lacking maturity in the data integrity aspect. Finally, this paper concluded that within the realm of possibility, users and application owners can reap the benefits of unified approach provided by AI to improve the user experience, improve overall efficiency, and strengthen the risk posture. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title="artificial intelligence">artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=user%20access%20review" title=" user access review"> user access review</a>, <a href="https://publications.waset.org/abstracts/search?q=access%20approval" title=" access approval"> access approval</a> </p> <a href="https://publications.waset.org/abstracts/174501/a-review-artificial-intelligence-ai-driven-user-access-management-and-identity-governance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/174501.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">93</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8645</span> The Impact of Artificial Intelligence on Digital Crime</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=%C3%81.%20L.%20Bendes">Á. L. Bendes</a> </p> <p class="card-text"><strong>Abstract:</strong></p> By the end of the second decade of the 21st century, artificial intelligence (AI) has become an unavoidable part of everyday life and has necessarily aroused the interest of researchers in almost every field of science. This is no different in the case of jurisprudence, whose main task is not only to create its own theoretical paradigm related to AI. Perhaps the biggest impact on digital crime is artificial intelligence. In addition, the need to create legal frameworks suitable for the future application of the law has a similar importance. The prognosis according to which AI can reshape the practical application of law and, ultimately, the entire legal life is also of considerable importance. In the past, criminal law was basically created to sanction the criminal acts of a person, so the application of its concepts with original content to AI-related violations is not expected to be sufficient in the future. Taking this into account, it is necessary to rethink the basic elements of criminal law, such as the act and factuality, but also, in connection with criminality barriers and criminal sanctions, several new aspects have appeared that challenge both the criminal law researcher and the legislator. It is recommended to continuously monitor technological changes in the field of criminal law as well since it will be timely to re-create both the legal and scientific frameworks to correctly assess the events related to them, which may require a criminal law response. Artificial intelligence has completely reformed the world of digital crime. New crimes have appeared, which the legal systems of many countries do not or do not adequately regulate. It is considered important to investigate and sanction these digital crimes. The primary goal is prevention, for which we need a comprehensive picture of the intertwining of artificial intelligence and digital crimes. The goal is to explore these problems, present them, and create comprehensive proposals that support legal certainty. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title="artificial intelligence">artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=chat%20forums" title=" chat forums"> chat forums</a>, <a href="https://publications.waset.org/abstracts/search?q=defamation" title=" defamation"> defamation</a>, <a href="https://publications.waset.org/abstracts/search?q=international%20criminal%20cooperation" title=" international criminal cooperation"> international criminal cooperation</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20networking" title=" social networking"> social networking</a>, <a href="https://publications.waset.org/abstracts/search?q=virtual%20sites" title=" virtual sites"> virtual sites</a> </p> <a href="https://publications.waset.org/abstracts/172160/the-impact-of-artificial-intelligence-on-digital-crime" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/172160.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">89</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8644</span> Literature Review: Application of Artificial Intelligence in EOR</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Masoumeh%20Mofarrah">Masoumeh Mofarrah</a>, <a href="https://publications.waset.org/abstracts/search?q=Amir%20NahanMoghadam"> Amir NahanMoghadam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Higher oil prices and increasing oil demand are main reasons for great attention to Enhanced Oil Recovery (EOR). Comprehensive researches have been accomplished to develop, appraise and improve EOR methods and their application. Recently Artificial Intelligence (AI) gained popularity in petroleum industry that can help petroleum engineers to solve some fundamental petroleum engineering problems such as reservoir simulation, EOR project risk analysis, well log interpretation and well test model selection. This study presents a historical overview of most popular AI tools including neural networks, genetic algorithms, fuzzy logic and expert systems in petroleum industry and discusses two case studies to represent the application of two mentioned AI methods for selecting an appropriate EOR method based on reservoir characterization in feasible and effective way. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title="artificial intelligence">artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=EOR" title=" EOR"> EOR</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20networks" title=" neural networks"> neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=expert%20systems" title=" expert systems"> expert systems</a> </p> <a href="https://publications.waset.org/abstracts/13153/literature-review-application-of-artificial-intelligence-in-eor" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13153.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">408</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8643</span> Design of a Photovoltaic Power Generation System Based on Artificial Intelligence and Internet of Things </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wei%20Hu">Wei Hu</a>, <a href="https://publications.waset.org/abstracts/search?q=Wenguang%20Chen"> Wenguang Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Chong%20Dong"> Chong Dong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In order to improve the efficiency and safety of photovoltaic power generation devices, this photovoltaic power generation system combines Artificial Intelligence (AI) and the Internet of Things (IoT) to control the chasing photovoltaic power generation device to track the sun to improve power generation efficiency and then convert energy management. The system uses artificial intelligence as the control terminal, the power generation device executive end uses the Linux system, and Exynos4412 is the CPU. The power generating device collects the sun image information through Sony CCD. After several power generating devices feedback the data to the CPU for processing, several CPUs send the data to the artificial intelligence control terminal through the Internet. The control terminal integrates the executive terminal information, time information, and environmental information to decide whether to generate electricity normally and then whether to convert the converted electrical energy into the grid or store it in the battery pack. When the power generation environment is abnormal, the control terminal authorizes the protection strategy, the power generation device executive terminal stops power generation and enters a self-protection posture, and at the same time, the control terminal synchronizes the data with the cloud. At the same time, the system is more intelligent, more adaptive, and longer life. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=photo-voltaic%20power%20generation" title="photo-voltaic power generation">photo-voltaic power generation</a>, <a href="https://publications.waset.org/abstracts/search?q=the%20pursuit%20of%20light" title=" the pursuit of light"> the pursuit of light</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title=" artificial intelligence"> artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=internet%20of%20things" title=" internet of things"> internet of things</a>, <a href="https://publications.waset.org/abstracts/search?q=photovoltaic%20array" title=" photovoltaic array"> photovoltaic array</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20management" title=" power management "> power management </a> </p> <a href="https://publications.waset.org/abstracts/126383/design-of-a-photovoltaic-power-generation-system-based-on-artificial-intelligence-and-internet-of-things" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/126383.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">123</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8642</span> The Importance of Science and Technology Education in Skill Acquisition for Self Dependence</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Olaje%20Monday%20Olaje">Olaje Monday Olaje</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Science and technology has been prove to be the back bone for economic development of any country, and for Nigeria, it has more critical role to play. This paper examines the importance of science and technology education for national development and self dependence for Nigerian citizens. A historical overview of the interconnectivity of science and technology and self dependence is heighted. The current situation and challenges facing science and technology education are also highlighted to bring out the theoretical importance of science and technology education for self dependence which actually has not been practically achieved. Recommendations are also made at the of the study so as to skill acquisition through science and technology for self dependence. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=acquisition" title="acquisition">acquisition</a>, <a href="https://publications.waset.org/abstracts/search?q=education" title=" education"> education</a>, <a href="https://publications.waset.org/abstracts/search?q=self-dependence" title=" self-dependence"> self-dependence</a>, <a href="https://publications.waset.org/abstracts/search?q=science" title=" science"> science</a>, <a href="https://publications.waset.org/abstracts/search?q=technology" title=" technology"> technology</a> </p> <a href="https://publications.waset.org/abstracts/30436/the-importance-of-science-and-technology-education-in-skill-acquisition-for-self-dependence" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30436.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">505</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8641</span> The Effectiveness of Teaching Emotional Intelligence on Reducing Marital Conflicts and Marital Adjustment in Married Students of Tehran University</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Elham%20Jafari">Elham Jafari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this study was to evaluate the effectiveness of emotional intelligence training on reducing marital conflict and marital adjustment in married students of the University of Tehran. This research is an applied type in terms of purpose and a semi-experimental design of pre-test-post-test type with the control group and with follow-up test in terms of the data collection method. The statistical population of the present study consisted of all married students of the University of Tehran. In this study, 30 married students of the University of Tehran were selected by convenience sampling method as a sample that 15 people in the experimental group and 15 people in the control group were randomly selected. The method of data collection in this research was field and library. The data collection tool in the field section was two questionnaires of marital conflict and marital adjustment. To analyze the collected data, first at the descriptive level, using statistical indicators, the demographic characteristics of the sample were described by SPSS software. In inferential statistics, the statistical method used was the test of analysis of covariance. The results showed that the effect of the independent variable of emotional intelligence on the reduction of marital conflicts is statistically significant. And it can be inferred that emotional intelligence training has reduced the marital conflicts of married students of the University of Tehran in the experimental group compared to the control group. Also, the effect of the independent variable of emotional intelligence on marital adjustment was statistically significant. It can be inferred that emotional intelligence training has adjusted the marital adjustment of married students of the University of Tehran in the experimental group compared to the control group. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=emotional%20intelligence" title="emotional intelligence">emotional intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=marital%20conflicts" title=" marital conflicts"> marital conflicts</a>, <a href="https://publications.waset.org/abstracts/search?q=marital%20compatibility" title=" marital compatibility"> marital compatibility</a>, <a href="https://publications.waset.org/abstracts/search?q=married%20students" title=" married students"> married students</a> </p> <a href="https://publications.waset.org/abstracts/138979/the-effectiveness-of-teaching-emotional-intelligence-on-reducing-marital-conflicts-and-marital-adjustment-in-married-students-of-tehran-university" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/138979.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">251</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8640</span> Meeting the Challanges of Regulating Artificial Intelligence</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdulrahman%20S.%20%20Shryan%20Aldossary">Abdulrahman S. Shryan Aldossary</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Globally, artificial intelligence (AI) is already performing legitimate tasks on behalf of humans. In Saudi Arabia, large-scale national projects, primarily based on AI technologies and receiving billions of dollars of funding, are projected for completion by 2030. However, the legal aspect of these projects is seriously vulnerable, given AI’s unprecedented ability to self-learn and act independently. This paper, therefore, identifies the critical legal aspects of AI that authorities and policymakers should be aware of, specifically whether AI can possess identity and be liable for the risk of public harm. The article begins by identifying the problematic characteristics of AI and what should be considered by legal experts when dealing with it. Also discussed are the possible competent institutions that could regulate AI in Saudi Arabia. Finally, a procedural proposal is presented for controlling AI, focused on Saudi Arabia but potentially of interest to other jurisdictions facing similar concerns about AI safety. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=regulation" title="regulation">regulation</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title=" artificial intelligence"> artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=tech%20law" title=" tech law"> tech law</a>, <a href="https://publications.waset.org/abstracts/search?q=automated%20systems" title=" automated systems"> automated systems</a> </p> <a href="https://publications.waset.org/abstracts/143089/meeting-the-challanges-of-regulating-artificial-intelligence" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/143089.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">175</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8639</span> Estimation of Reservoirs Fracture Network Properties Using an Artificial Intelligence Technique</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Reda%20Abdel%20Azim">Reda Abdel Azim</a>, <a href="https://publications.waset.org/abstracts/search?q=Tariq%20Shehab"> Tariq Shehab</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The main objective of this study is to develop a subsurface fracture map of naturally fractured reservoirs by overcoming the limitations associated with different data sources in characterising fracture properties. Some of these limitations are overcome by employing a nested neuro-stochastic technique to establish inter-relationship between different data, as conventional well logs, borehole images (FMI), core description, seismic attributes, and etc. and then characterise fracture properties in terms of fracture density and fractal dimension for each data source. Fracture density is an important property of a system of fracture network as it is a measure of the cumulative area of all the fractures in a unit volume of a fracture network system and Fractal dimension is also used to characterize self-similar objects such as fractures. At the wellbore locations, fracture density and fractal dimension can only be estimated for limited sections where FMI data are available. Therefore, artificial intelligence technique is applied to approximate the quantities at locations along the wellbore, where the hard data is not available. It should be noted that Artificial intelligence techniques have proven their effectiveness in this domain of applications. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=naturally%20fractured%20reservoirs" title="naturally fractured reservoirs">naturally fractured reservoirs</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title=" artificial intelligence"> artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=fracture%20intensity" title=" fracture intensity"> fracture intensity</a>, <a href="https://publications.waset.org/abstracts/search?q=fractal%20dimension" title=" fractal dimension"> fractal dimension</a> </p> <a href="https://publications.waset.org/abstracts/74553/estimation-of-reservoirs-fracture-network-properties-using-an-artificial-intelligence-technique" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/74553.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">254</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8638</span> Teachers’ Personal and Professional Characteristics: How They Relate to Teacher-Student Relationships and Students’ Behavior </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maria%20Poulou">Maria Poulou</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study investigated how teachers’ self-rated Emotional Intelligence (EI), competence in implementing Social and Emotional Learning (SEL) skills and teaching efficacy relate to teacher-student relationships and students’ emotional and behavioral difficulties. Participants were 98 elementary teachers from public schools in central Greece. They completed the Self-Rated Emotional Intelligence Scale (SREIS), the Teacher SEL Beliefs Scale, the Teachers’ Sense of Efficacy Scale (TSES), the Student-Teacher Relationships Scale-Short Form (STRS-SF) and the Strengths and Difficulties Questionnaire (SDQ) for 617 of their students, aged 6-11 years old. Structural equation modeling was used to examine an exploratory model of the variables. It was demonstrated that teachers’ emotional intelligence, SEL beliefs and teaching efficacy were significantly related to teacher-student relationships, but they were not related to students’ emotional and behavioral difficulties. Rather, teachers’ perceptions of teacher-students relationships were significantly related to these difficulties. These findings and their implications for research and practice are discussed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=emotional%20intelligence" title="emotional intelligence">emotional intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20and%20emotional%20learning" title=" social and emotional learning"> social and emotional learning</a>, <a href="https://publications.waset.org/abstracts/search?q=teacher-student%20relationships" title=" teacher-student relationships"> teacher-student relationships</a>, <a href="https://publications.waset.org/abstracts/search?q=teaching%20efficacy" title=" teaching efficacy"> teaching efficacy</a> </p> <a href="https://publications.waset.org/abstracts/43363/teachers-personal-and-professional-characteristics-how-they-relate-to-teacher-student-relationships-and-students-behavior" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43363.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">440</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8637</span> Investigating the Effect of Artificial Intelligence on the Improvement of Green Supply Chain in Industry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sepinoud%20Hamedi">Sepinoud Hamedi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Over the past few decades, companies have appeared developing concerns in connection to the natural affect of their fabricating exercises. Green supply chain administration has been considered by the producers as a attainable choice to decrease the natural affect of operations whereas at the same time moving forward their operational execution. Contemporaneously the coming of digitalization and globalization within the supply chain space has driven to a developing acknowledgment of the importance of data preparing methodologies, such as enormous information analytics and fake insights innovations, in improving and optimizing supply chain execution. Also, supply chain collaboration in part intervenes the relationship between manufactured innovation and supply chain execution Ponders appear that the use of BDA-AI advances includes a significant impact on natural handle integration and green supply chain collaboration conjointly underlines that both natural handle integration and green supply chain collaboration have a critical affect on natural execution. Correspondingly savvy supply chain contributes to green execution through overseeing green connections and setting up green operations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=green%20supply%20chain" title="green supply chain">green supply chain</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title=" artificial intelligence"> artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=manufacturers" title=" manufacturers"> manufacturers</a>, <a href="https://publications.waset.org/abstracts/search?q=technology" title=" technology"> technology</a>, <a href="https://publications.waset.org/abstracts/search?q=environmental" title=" environmental"> environmental</a> </p> <a href="https://publications.waset.org/abstracts/178577/investigating-the-effect-of-artificial-intelligence-on-the-improvement-of-green-supply-chain-in-industry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/178577.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">73</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8636</span> Artificial Intelligence Based Abnormality Detection System and Real Valuᵀᴹ Product Design</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Junbeom%20Lee">Junbeom Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Jaehyuck%20Cho"> Jaehyuck Cho</a>, <a href="https://publications.waset.org/abstracts/search?q=Wookyeong%20Jeong"> Wookyeong Jeong</a>, <a href="https://publications.waset.org/abstracts/search?q=Jonghan%20Won"> Jonghan Won</a>, <a href="https://publications.waset.org/abstracts/search?q=Jungmin%20Hwang"> Jungmin Hwang</a>, <a href="https://publications.waset.org/abstracts/search?q=Youngseok%20Song"> Youngseok Song</a>, <a href="https://publications.waset.org/abstracts/search?q=Taikyeong%20Jeong"> Taikyeong Jeong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper investigates and analyzes meta-learning technologies that use multiple-cameras to monitor and check abnormal behavior in people in real-time in the area of healthcare fields. Advances in artificial intelligence and computer vision technologies have confirmed that cameras can be useful for individual health monitoring and abnormal behavior detection. Through this, it is possible to establish a system that can respond early by automatically detecting abnormal behavior of the elderly, such as patients and the elderly. In this paper, we use a technique called meta-learning to analyze image data collected from cameras and develop a commercial product to determine abnormal behavior. Meta-learning applies machine learning algorithms to help systems learn and adapt quickly to new real data. Through this, the accuracy and reliability of the abnormal behavior discrimination system can be improved. In addition, this study proposes a meta-learning-based abnormal behavior detection system that includes steps such as data collection and preprocessing, feature extraction and selection, and classification model development. Various healthcare scenarios and experiments analyze the performance of the proposed system and demonstrate excellence compared to other existing methods. Through this study, we present the possibility that camera-based meta-learning technology can be useful for monitoring and testing abnormal behavior in the healthcare area. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title="artificial intelligence">artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=abnormal%20behavior" title=" abnormal behavior"> abnormal behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=early%20detection" title=" early detection"> early detection</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20monitoring" title=" health monitoring"> health monitoring</a> </p> <a href="https://publications.waset.org/abstracts/168915/artificial-intelligence-based-abnormality-detection-system-and-real-valu-product-design" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/168915.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">87</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8635</span> The Impact of Teacher's Emotional Intelligence on Students' Motivation to Learn</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Marla%20Wendy%20Spergel">Marla Wendy Spergel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this qualitative study is to showcase graduated high school students’ to voice on the impact past teachers had on their motivation to learn, and if this impact has affected their post-high-school lives. Through a focus group strategy, 21 graduated high school alumni participated in three separate focus groups. Participants discussed their former teacher’s emotional intelligence skills, which influenced their motivation to learn or not. A focused review of the literature revealed that teachers are a major factor in a student’s motivation to learn. This research was guided by Bandura’s Social Cognitive Theory of Motivation and constructs related to learning and motivation from Carl Rogers’ Humanistic Views of Personality, and from Brain-Based Learning perspectives with a major focus on the area of Emotional Intelligence. Findings revealed that the majority of participants identified teachers who most motivated them to learn and demonstrated skills associated with emotional intelligence. An important and disturbing finding relates to the saliency of negative experiences. Further work is recommended to expand this line of study in Higher Education, perform a long-term study to better gain insight into long-term benefits attributable to experiencing positive teachers, study the negative impact teachers have on students’ motivation to learn, specifically focusing on student anxiety and acquired helplessness. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=emotional%20intelligence" title="emotional intelligence">emotional intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=learning" title=" learning"> learning</a>, <a href="https://publications.waset.org/abstracts/search?q=motivation" title=" motivation"> motivation</a>, <a href="https://publications.waset.org/abstracts/search?q=pedagogy" title=" pedagogy"> pedagogy</a> </p> <a href="https://publications.waset.org/abstracts/91644/the-impact-of-teachers-emotional-intelligence-on-students-motivation-to-learn" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/91644.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">157</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8634</span> 'Low Electronic Noise' Detector Technology in Computed Tomography</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Ikhlef">A. Ikhlef</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Image noise in computed tomography, is mainly caused by the statistical noise, system noise reconstruction algorithm filters. Since last few years, low dose x-ray imaging became more and more desired and looked as a technical differentiating technology among CT manufacturers. In order to achieve this goal, several technologies and techniques are being investigated, including both hardware (integrated electronics and photon counting) and software (artificial intelligence and machine learning) based solutions. From a hardware point of view, electronic noise could indeed be a potential driver for low and ultra-low dose imaging. We demonstrated that the reduction or elimination of this term could lead to a reduction of dose without affecting image quality. Also, in this study, we will show that we can achieve this goal using conventional electronics (low cost and affordable technology), designed carefully and optimized for maximum detective quantum efficiency. We have conducted the tests using large imaging objects such as 30 cm water and 43 cm polyethylene phantoms. We compared the image quality with conventional imaging protocols with radiation as low as 10 mAs (<< 1 mGy). Clinical validation of such results has been performed as well. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=computed%20tomography" title="computed tomography">computed tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=electronic%20noise" title=" electronic noise"> electronic noise</a>, <a href="https://publications.waset.org/abstracts/search?q=scintillation%20detector" title=" scintillation detector"> scintillation detector</a>, <a href="https://publications.waset.org/abstracts/search?q=x-ray%20detector" title=" x-ray detector"> x-ray detector</a> </p> <a href="https://publications.waset.org/abstracts/105183/low-electronic-noise-detector-technology-in-computed-tomography" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/105183.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">126</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8633</span> Artificial Intelligence Based Meme Generation Technology for Engaging Audience in Social Media</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Andrew%20Kurochkin">Andrew Kurochkin</a>, <a href="https://publications.waset.org/abstracts/search?q=Kostiantyn%20Bokhan"> Kostiantyn Bokhan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, a new meme dataset of ~650K meme instances was created, a technology of meme generation based on the state of the art deep learning technique - GPT-2 model was researched, a comparative analysis of machine-generated memes and human-created was conducted. We justified that Amazon Mechanical Turk workers can be used for the approximate estimating of users' behavior in a social network, more precisely to measure engagement. It was shown that generated memes cause the same engagement as human memes that produced low engagement in the social network (historically). Thus, generated memes are less engaging than random memes created by humans. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=content%20generation" title="content generation">content generation</a>, <a href="https://publications.waset.org/abstracts/search?q=computational%20social%20science" title=" computational social science"> computational social science</a>, <a href="https://publications.waset.org/abstracts/search?q=memes%20generation" title=" memes generation"> memes generation</a>, <a href="https://publications.waset.org/abstracts/search?q=Reddit" title=" Reddit"> Reddit</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20networks" title=" social networks"> social networks</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20media%20interaction" title=" social media interaction"> social media interaction</a> </p> <a href="https://publications.waset.org/abstracts/126571/artificial-intelligence-based-meme-generation-technology-for-engaging-audience-in-social-media" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/126571.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">138</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8632</span> Exploitation of Technology by the Tshwane Residence for Tourism Development Purposes</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=P.%20P.%20S.%20Sifolo">P. P. S. Sifolo</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Tladi"> P. Tladi</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20Maimela"> J. Maimela</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This article investigates technology used by Tshwane residents intended for tourism purposes. The aim is to contribute information to the Tshwane interested parties for planning and management concerning technology within the tourism sector. This study identified the types of tourist related technologies used by the Tshwane residents, be it for business purposes or personal use. The study connected the exploitation of technology for tourism purposes through unpacking the tourism sector as it utilizes technology. Quantitative research methodology was used whereby self-completed questionnaires were chosen as research instruments. The research study carried out a search for knowledge on technology for tourism and the Tshwane residents; however the study revealed that technology has certainly imprinted tourism massively because of its effectiveness and efficiency. Technology has assisted tourism businesses stay abreast of competition with ICT and because of that, SA is on the map as one the economically performing countries in Africa. Moreover, technology and tourism make a meaningful impact on job creation and Gross Domestic Product (GDP). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=tourism" title="tourism">tourism</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20and%20communication%20technology" title=" information and communication technology"> information and communication technology</a>, <a href="https://publications.waset.org/abstracts/search?q=Tshwane%20residents" title=" Tshwane residents"> Tshwane residents</a>, <a href="https://publications.waset.org/abstracts/search?q=technology%20for%20tourism" title=" technology for tourism"> technology for tourism</a> </p> <a href="https://publications.waset.org/abstracts/5721/exploitation-of-technology-by-the-tshwane-residence-for-tourism-development-purposes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/5721.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">391</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8631</span> Supervised Learning for Cyber Threat Intelligence</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jihen%20Bennaceur">Jihen Bennaceur</a>, <a href="https://publications.waset.org/abstracts/search?q=Wissem%20Zouaghi"> Wissem Zouaghi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Mabrouk"> Ali Mabrouk</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The major aim of cyber threat intelligence (CTI) is to provide sophisticated knowledge about cybersecurity threats to ensure internal and external safeguards against modern cyberattacks. Inaccurate, incomplete, outdated, and invaluable threat intelligence is the main problem. Therefore, data analysis based on AI algorithms is one of the emergent solutions to overcome the threat of information-sharing issues. In this paper, we propose a supervised machine learning-based algorithm to improve threat information sharing by providing a sophisticated classification of cyber threats and data. Extensive simulations investigate the accuracy, precision, recall, f1-score, and support overall to validate the designed algorithm and to compare it with several supervised machine learning algorithms. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=threat%20information%20sharing" title="threat information sharing">threat information sharing</a>, <a href="https://publications.waset.org/abstracts/search?q=supervised%20learning" title=" supervised learning"> supervised learning</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20classification" title=" data classification"> data classification</a>, <a href="https://publications.waset.org/abstracts/search?q=performance%20evaluation" title=" performance evaluation"> performance evaluation</a> </p> <a href="https://publications.waset.org/abstracts/162756/supervised-learning-for-cyber-threat-intelligence" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/162756.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">149</span> </span> </div> </div> <ul class="pagination"> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=technology%20intelligence&page=8" rel="prev">&lsaquo;</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=technology%20intelligence&page=1">1</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=technology%20intelligence&page=2">2</a></li> <li class="page-item disabled"><span class="page-link">...</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=technology%20intelligence&page=6">6</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=technology%20intelligence&page=7">7</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=technology%20intelligence&page=8">8</a></li> <li class="page-item active"><span class="page-link">9</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=technology%20intelligence&page=10">10</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=technology%20intelligence&page=11">11</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=technology%20intelligence&page=12">12</a></li> <li class="page-item disabled"><span class="page-link">...</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=technology%20intelligence&page=296">296</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=technology%20intelligence&page=297">297</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=technology%20intelligence&page=10" rel="next">&rsaquo;</a></li> </ul> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Explore <li><a href="https://waset.org/disciplines">Disciplines</a></li> <li><a href="https://waset.org/conferences">Conferences</a></li> <li><a href="https://waset.org/conference-programs">Conference Program</a></li> <li><a href="https://waset.org/committees">Committees</a></li> <li><a href="https://publications.waset.org">Publications</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Research <li><a href="https://publications.waset.org/abstracts">Abstracts</a></li> <li><a href="https://publications.waset.org">Periodicals</a></li> <li><a href="https://publications.waset.org/archive">Archive</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Open Science <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Philosophy.pdf">Open Science Philosophy</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Award.pdf">Open Science Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Society-Open-Science-and-Open-Innovation.pdf">Open Innovation</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Postdoctoral-Fellowship-Award.pdf">Postdoctoral Fellowship Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Scholarly-Research-Review.pdf">Scholarly Research Review</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Support <li><a href="https://waset.org/page/support">Support</a></li> <li><a href="https://waset.org/profile/messages/create">Contact Us</a></li> <li><a href="https://waset.org/profile/messages/create">Report Abuse</a></li> </ul> </div> </div> </div> </div> </div> <div class="container text-center"> <hr style="margin-top:0;margin-bottom:.3rem;"> <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" class="text-muted small">Creative Commons Attribution 4.0 International License</a> <div id="copy" class="mt-2">© 2024 World Academy of Science, Engineering and Technology</div> </div> </footer> <a href="javascript:" id="return-to-top"><i class="fas fa-arrow-up"></i></a> <div class="modal" id="modal-template"> <div class="modal-dialog"> <div class="modal-content"> <div class="row m-0 mt-1"> <div class="col-md-12"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> </div> </div> <div class="modal-body"></div> </div> </div> </div> <script src="https://cdn.waset.org/static/plugins/jquery-3.3.1.min.js"></script> <script src="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/js/bootstrap.bundle.min.js"></script> <script src="https://cdn.waset.org/static/js/site.js?v=150220211556"></script> <script> jQuery(document).ready(function() { /*jQuery.get("https://publications.waset.org/xhr/user-menu", function (response) { jQuery('#mainNavMenu').append(response); });*/ jQuery.get({ url: "https://publications.waset.org/xhr/user-menu", cache: false }).then(function(response){ jQuery('#mainNavMenu').append(response); }); }); </script> </body> </html>