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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> 7</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Oumaima Belghith</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7</span> A Use Case-Oriented Performance Measurement Framework for AI and Big Data Solutions in the Banking Sector</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yassine%20Bouzouita">Yassine Bouzouita</a>, <a href="https://publications.waset.org/abstracts/search?q=Oumaima%20Belghith"> Oumaima Belghith</a>, <a href="https://publications.waset.org/abstracts/search?q=Cyrine%20Zitoun"> Cyrine Zitoun</a>, <a href="https://publications.waset.org/abstracts/search?q=Charles%20Bonneau"> Charles Bonneau</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Performance measurement framework (PMF) is an essential tool in any organization to assess the performance of its processes. It guides businesses to stay on track with their objectives and benchmark themselves from the market. With the growing trend of the digital transformation of business processes, led by innovations in artificial intelligence (AI) & Big Data applications, developing a mature system capable of capturing the impact of digital solutions across different industries became a necessity. Based on the conducted research, no such system has been developed in academia nor the industry. In this context, this paper covers a variety of methodologies on performance measurement, overviews the major AI and big data applications in the banking sector, and covers an exhaustive list of relevant metrics. Consequently, this paper is of interest to both researchers and practitioners. From an academic perspective, it offers a comparative analysis of the reviewed performance measurement frameworks. From an industry perspective, it offers exhaustive research, from market leaders, of the major applications of AI and Big Data technologies, across the different departments of an organization. Moreover, it suggests a standardized classification model with a well-defined structure of intelligent digital solutions. The aforementioned classification is mapped to a centralized library that contains an indexed collection of potential metrics for each application. This library is arranged in a manner that facilitates the rapid search and retrieval of relevant metrics. This proposed framework is meant to guide professionals in identifying the most appropriate AI and big data applications that should be adopted. Furthermore, it will help them meet their business objectives through understanding the potential impact of such solutions on the entire organization. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=AI%20and%20Big%20Data%20applications" title="AI and Big Data applications">AI and Big Data applications</a>, <a href="https://publications.waset.org/abstracts/search?q=impact%20assessment" title=" impact assessment"> impact assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=metrics" title=" metrics"> metrics</a>, <a href="https://publications.waset.org/abstracts/search?q=performance%20measurement" title=" performance measurement"> performance measurement</a> </p> <a href="https://publications.waset.org/abstracts/142803/a-use-case-oriented-performance-measurement-framework-for-ai-and-big-data-solutions-in-the-banking-sector" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/142803.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">207</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">6</span> A Very Efficient Pseudo-Random Number Generator Based On Chaotic Maps and S-Box Tables</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Hamdi">M. Hamdi</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Rhouma"> R. Rhouma</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Belghith"> S. Belghith </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Generating random numbers are mainly used to create secret keys or random sequences. It can be carried out by various techniques. In this paper we present a very simple and efficient pseudo-random number generator (PRNG) based on chaotic maps and S-Box tables. This technique adopted two main operations one to generate chaotic values using two logistic maps and the second to transform them into binary words using random S-Box tables. The simulation analysis indicates that our PRNG possessing excellent statistical and cryptographic properties. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Random%20Numbers" title="Random Numbers">Random Numbers</a>, <a href="https://publications.waset.org/abstracts/search?q=Chaotic%20map" title=" Chaotic map"> Chaotic map</a>, <a href="https://publications.waset.org/abstracts/search?q=S-box" title=" S-box"> S-box</a>, <a href="https://publications.waset.org/abstracts/search?q=cryptography" title=" cryptography"> cryptography</a>, <a href="https://publications.waset.org/abstracts/search?q=statistical%20tests" title=" statistical tests"> statistical tests</a> </p> <a href="https://publications.waset.org/abstracts/21757/a-very-efficient-pseudo-random-number-generator-based-on-chaotic-maps-and-s-box-tables" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21757.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">370</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">5</span> TMBCoI-SIOT: Trust Management System Based on the Community of Interest for the Social Internet of Things</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Oumaima%20Ben%20Abderrahim">Oumaima Ben Abderrahim</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Houcine%20Elhedhili"> Mohamed Houcine Elhedhili</a>, <a href="https://publications.waset.org/abstracts/search?q=Leila%20Saidane"> Leila Saidane</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we propose a trust management system based on clustering architecture for the social internet of things called TMBCO-SIOT. The proposed model integrates numerous factors such as direct and indirect trust; transaction factor; precaution factor; and social modeling of trust. The novelty of our approach can be summed up in two aspects. The first aspect concerns the architecture based on the community of interest (CoT) where each community is headed by an administrator (admin). However, the second aspect is the trust management system that tries to prevent On-Off attacks and mitigates dishonest recommendations using the k-means algorithm and guarantor things. The effectiveness of the proposed system is proved by simulation against malicious nodes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=IoT" title="IoT">IoT</a>, <a href="https://publications.waset.org/abstracts/search?q=trust%20management%20system" title=" trust management system"> trust management system</a>, <a href="https://publications.waset.org/abstracts/search?q=attacks" title=" attacks"> attacks</a>, <a href="https://publications.waset.org/abstracts/search?q=trust" title=" trust"> trust</a>, <a href="https://publications.waset.org/abstracts/search?q=dishonest%20recommendations" title=" dishonest recommendations"> dishonest recommendations</a>, <a href="https://publications.waset.org/abstracts/search?q=K-means%20algorithm" title=" K-means algorithm"> K-means algorithm</a> </p> <a href="https://publications.waset.org/abstracts/58490/tmbcoi-siot-trust-management-system-based-on-the-community-of-interest-for-the-social-internet-of-things" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58490.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">218</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">4</span> Model Free Terminal Sliding Mode with Gravity Compensation: Application to an Exoskeleton-Upper Limb System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sana%20Bembli">Sana Bembli</a>, <a href="https://publications.waset.org/abstracts/search?q=Nahla%20Khraief%20Haddad"> Nahla Khraief Haddad</a>, <a href="https://publications.waset.org/abstracts/search?q=Safya%20Belghith"> Safya Belghith</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper deals with a robust model free terminal sliding mode with gravity compensation approach used to control an exoskeleton-upper limb system. The considered system is a 2-DoF robot in interaction with an upper limb used for rehabilitation. The aim of this paper is to control the flexion/extension movement of the shoulder and the elbow joints in presence of matched disturbances. In the first part, we present the exoskeleton-upper limb system modeling. Then, we controlled the considered system by the model free terminal sliding mode with gravity compensation. A stability study is realized. To prove the controller performance, a robustness analysis was needed. Simulation results are provided to confirm the robustness of the gravity compensation combined with to the Model free terminal sliding mode in presence of uncertainties. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=exoskeleton-%20upper%20limb%20system" title="exoskeleton- upper limb system">exoskeleton- upper limb system</a>, <a href="https://publications.waset.org/abstracts/search?q=model%20free%20terminal%20sliding%20mode" title=" model free terminal sliding mode"> model free terminal sliding mode</a>, <a href="https://publications.waset.org/abstracts/search?q=gravity%20compensation" title=" gravity compensation"> gravity compensation</a>, <a href="https://publications.waset.org/abstracts/search?q=robustness%20analysis" title=" robustness analysis"> robustness analysis</a> </p> <a href="https://publications.waset.org/abstracts/129467/model-free-terminal-sliding-mode-with-gravity-compensation-application-to-an-exoskeleton-upper-limb-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/129467.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> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3</span> Diversity in Finance Literature Revealed through the Lens of Machine Learning: A Topic Modeling Approach on Academic Papers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Oumaima%20Lahmar">Oumaima Lahmar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper aims to define a structured topography for finance researchers seeking to navigate the body of knowledge in their extrapolation of finance phenomena. To make sense of the body of knowledge in finance, a probabilistic topic modeling approach is applied on 6000 abstracts of academic articles published in three top journals in finance between 1976 and 2020. This approach combines both machine learning techniques and natural language processing to statistically identify the conjunctions between research articles and their shared topics described each by relevant keywords. The topic modeling analysis reveals 35 coherent topics that can well depict finance literature and provide a comprehensive structure for the ongoing research themes. Comparing the extracted topics to the Journal of Economic Literature (JEL) classification system, a significant similarity was highlighted between the characterizing keywords. On the other hand, we identify other topics that do not match the JEL classification despite being relevant in the finance literature. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=finance%20literature" title="finance literature">finance literature</a>, <a href="https://publications.waset.org/abstracts/search?q=textual%20analysis" title=" textual analysis"> textual analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=topic%20modeling" title=" topic modeling"> topic modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=perplexity" title=" perplexity"> perplexity</a> </p> <a href="https://publications.waset.org/abstracts/147956/diversity-in-finance-literature-revealed-through-the-lens-of-machine-learning-a-topic-modeling-approach-on-academic-papers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/147956.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">181</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">2</span> Artificial Intelligence and Big Data: Exploring the Sectoral Impacts of the Economy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Balar%20Khalid">Balar Khalid</a>, <a href="https://publications.waset.org/abstracts/search?q=Yakhafallah%20Oumaima"> Yakhafallah Oumaima</a>, <a href="https://publications.waset.org/abstracts/search?q=Mokhtari%20Yasmine"> Mokhtari Yasmine</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Objective: This study aims to explore the impact of Artificial Intelligence (AI) and Big Data on various economic sectors, more specifically on financial services, manufacturing industry and labour market. The purpose is to launch a discussion on how this symbiotic relationship is sculpting economic development. Methods: This study adopts a documentary and qualitative research methodology by creating a compilation of articles using an advanced keyword search on scientific platforms accessible via the digital resources of Hassan II University in Casablanca. Other sources, such as Forbes Magazine and AI Index report published in 2024, were also used and allowed us to access graphs that include data such as AI-related job creation, the growth of industrial robots, corporate investment in AI. Results: The research enabled a comprehensive overview of the fundamentals and concepts related to AI and Big Data, as well as their historical development and various economic applications. It also outlines key trends and insights, highlighting the opportunities, challenges, and limitations associated with these technologies. The results show a significant impact of AI and Big Data on the economic growth of studied sectors as well as some specific challenges and concerns to which greater attention and focus needs to be accorded, notably ethical ones. Conclusion: Artificial Intelligence and Big Data work perfectly together for a data-driven economy. As these two technologies develop, their integration in different sectors brings advancements in innovation, efficiency, and decision-making. Nevertheless, ethical and societal repercussions must be considered. Indeed, to realize the real potential of artificial intelligence and big data for economic development, it is essential to strike a balance between technological development and ethical governance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=big%20data" title="big data">big data</a>, <a href="https://publications.waset.org/abstracts/search?q=analytics" title=" analytics"> analytics</a>, <a href="https://publications.waset.org/abstracts/search?q=development" title=" development"> development</a>, <a href="https://publications.waset.org/abstracts/search?q=growth" title=" growth"> growth</a>, <a href="https://publications.waset.org/abstracts/search?q=innovation" title=" innovation"> innovation</a>, <a href="https://publications.waset.org/abstracts/search?q=technology" title=" technology"> technology</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20making" title=" decision making"> decision making</a> </p> <a href="https://publications.waset.org/abstracts/198131/artificial-intelligence-and-big-data-exploring-the-sectoral-impacts-of-the-economy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/198131.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">16</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">1</span> Hyper Parameter Optimization of Deep Convolutional Neural Networks for Pavement Distress Classification</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Oumaima%20Khlifati">Oumaima Khlifati</a>, <a href="https://publications.waset.org/abstracts/search?q=Khadija%20Baba"> Khadija Baba</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Pavement distress is the main factor responsible for the deterioration of road structure durability, damage vehicles, and driver comfort. Transportation agencies spend a high proportion of their funds on pavement monitoring and maintenance. The auscultation of pavement distress was based on the manual survey, which was extremely time consuming, labor intensive, and required domain expertise. Therefore, the automatic distress detection is needed to reduce the cost of manual inspection and avoid more serious damage by implementing the appropriate remediation actions at the right time. Inspired by recent deep learning applications, this paper proposes an algorithm for automatic road distress detection and classification using on the Deep Convolutional Neural Network (DCNN). In this study, the types of pavement distress are classified as transverse or longitudinal cracking, alligator, pothole, and intact pavement. The dataset used in this work is composed of public asphalt pavement images. In order to learn the structure of the different type of distress, the DCNN models are trained and tested as a multi-label classification task. In addition, to get the highest accuracy for our model, we adjust the structural optimization hyper parameters such as the number of convolutions and max pooling, filers, size of filters, loss functions, activation functions, and optimizer and fine-tuning hyper parameters that conclude batch size and learning rate. The optimization of the model is executed by checking all feasible combinations and selecting the best performing one. The model, after being optimized, performance metrics is calculated, which describe the training and validation accuracies, precision, recall, and F1 score. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=distress%20pavement" title="distress pavement">distress pavement</a>, <a href="https://publications.waset.org/abstracts/search?q=hyperparameters" title=" hyperparameters"> hyperparameters</a>, <a href="https://publications.waset.org/abstracts/search?q=automatic%20classification" title=" automatic classification"> automatic classification</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a> </p> <a href="https://publications.waset.org/abstracts/156783/hyper-parameter-optimization-of-deep-convolutional-neural-networks-for-pavement-distress-classification" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/156783.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">100</span> </span> </div> </div> </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">© 2025 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); 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