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JIT has been publishing articles since 2000 and open access since 2018. Manuscripts are submitted for review with the understanding that they have not been published elsewhere. Each author is advised to submit the manuscripts, typewritten, double-spaced, in ps, doc, or pdf formats to the executive editor for peer review. Original drawing need not be sent until the paper is accepted. Once accepted, the manuscript should be submitted as a Microsoft Word or other WORD-processing file and send it through electronic mail along with short biographies and photographs for all the authors. Authors need to pay the publication fee. The author(s) will be responsible for proof-reading the paper. All copyright ownership of the paper will belong to the Journal once it is published. There are six issues a year for this Journal and reviewing results will be provided within six month for most of the submitted manuscripts. Details of electronic submission are shown in the journal website. Topics of interest to JIT include but not limited to: Broadband Networks Wireless Communication Telecommunication Networks Transportation Networks UAV-assisted Networks Satellite Communication Quantum Internet Network Management Network Operating System (NOS) Network Behavior Modeling Security for Networks and Systems Multimedia systems Electronic service systems (Internet, Intranet, Extranet, E-Commerce, E-Business, E-Learning) Cloud Computing / Fog Computing / Edge Computing Internet of Things (IoT) and Internet of Everything (IoX) Big Data for Networking Fintech and Blockchain Artificial Intelligence (AI) for Networking and Service (E-Commerce, E-Business, E-Learning) Government or Staff Jobs Computerization National Information Policy Digital Library Distance Learning Innovative Applications of Network Technologies JIT does not open call for special issue proposal but based on invitations only!</pre><div class="alert alert-warning"> Last updated by <a href="/researcher/1">Dou Sun</a> in 2024-08-24</div> </div> </div> <div class="portlet" id="yw2"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-list-alt"></i> Special Issues</div> </div> <div class="portlet-content"> <a name="5242"></a><pre>Special Issue on 6G Enabled Intelligent Edge Computing and Human-Centric IoT</br>Submission Date: 2025-05-30</br></br>Theme and Scope With the increasing demand for high-speed and low-latency connections, the development of 6G networks that surpass the performance of existing 5G networks is accelerating. 6G networks, which will enable enhanced mobile broadband, a wide range of mechanical communications, highly reliable low latency, sensing capabilities, and application services covering artificial intelligence (AI), will integrate edge and core computing as components of a unified communication and computational infrastructure. As high communication speed and efficient data processing become possible, the utilization of IoT and edge computing technologies based on 6G networks will be applied in various fields such as human-centered real-life technology, safety, convenience technology, autonomous vehicles, smart cities, and telemedicine. Various business models and strategies applying this technology will also emerge. For edge computing platforms, instead of transferring all the collected data directly to the centralized cloud, they can preprocess the data at edge nodes, reducing service latency and energy consumption compared to centralized cloud platforms. In particular, intelligent edge computing provides an opportunity to improve the energy efficiency of IoT and meet the requirements of remote IoT services. Due to these advantages, intelligent edge computing based on 6G is being studied in various fields and methods such as human-centered convenience, efficiency, and service support in smart homes, offices, transportation, healthcare and medical, smart cities, intelligent communication, and smart agriculture. Additionally, in recent years, various IoT devices such as home appliances, sensors, actuators, and drones are being connected to an integrated IoT network where each component can interact. Research on device-edge-cloud continuum platforms that utilize the rich functions and resources provided by edge nodes and the cloud is also underway. This special issue collects the latest technologies and research papers on 6G enabled intelligent edge computing technology and human-centric IoT application, system and platform development, and empirical service implementation and utilization. It also includes application technologies in various fields such as machine learning for IoT, intelligent edge computing management using deep learning, business models and verification, human-centeric IoT utilization and services, and intelligent smart agriculture based on edge computing. Submitted papers are processed by peer review and must adhere to journal regulations. The topics of the special issue are as follows: Keywords: Edge computing platform with Human-centric IoT 6G enabled Human-centric IoT with Machine Learning (ML)/Deep Learning (DL) Intelligent control and management technique with human-centric IoT application Management for 6G enabled edge computing with IoT 6G enabled Novel IoT communication technologies and protocols Safety, security and privacy for 6G based edge computing and IoT Digital Twins, databases and data maintenance for IoT with ML/DL Smart City/Health/Home/Industries/Farm under IoT edge computing Scalable human-centric IoT architectures and systems 6G and its Impact on intelligent IoT Blockchain Technology for Securing IoT Devices Human-Machine Interaction in intelligent IoT edge computing Edge AI, Intelligent edge and computing continuum applications and technologies Business model and evaluation for IoT edge computing applications and services Sustainability in IoT and edge computing Societal impacts and ethical implications of IoT Etc Important Dates Submission Due: May 30, 2025 1st Revision: June 30, 2025 2nd Revision: August 30, 2025 Final Revision: September 30, 2025 Tentative Publication Date: January 2027 Instructions for Manuscripts Prospective authors should ONLY submit an electronic copy of their complete manuscript through emails to Prof. Hwa-Young Jeong (Leading Guest Editor), hyjeong@khu.ac.kr Each paper, written in English, the maximum word number in each paper should be below 8,000 words, including the references, illustrations and short biographies. More information can be found at https://jit.ndhu.edu.tw/. Authors should read over the journal’s Author Guidelines carefully before submission, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. The manuscript template can also be found in the Author Guidelines. Again, prospective authors should ONLY submit an electronic copy of their complete manuscript through emails to Prof. Hwa-Young Jeong (Leading Guest Editor), hyjeong@khu.ac.kr. Please DO NOT submit the manuscripts via online submission system. Guest Editors Prof. Hwa-Young Jeong (Leading Guest Editor) Humanitas College, Kyung Hee University, Seoul, Korea hyjeong@khu.ac.kr Prof. Olha S. Hrynkevych Dept of Statistics, Ivan Franko National University of Lviv, Ukraine olha.hrynkevych@lnu.edu.ua Dr. Jeongeun Byun Director of Technology Commercialization Research Center, Korea Institute of Science and Technology Information (KISTI), Korea jebyun@kisti.re.kr Prof. Jason C. Hung Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taiwan jhung@gm.nutc.edu.tw Dr. Tamra Connor Associate Dean for Accreditation and Operations & Professor, Illinois State University, USA tdavis2@ilstu.edu </pre><div class="alert alert-warning">Last updated by <a href="/researcher/1">Dou Sun</a> in 2024-08-24</div><a name="5241"></a><pre>Special Issue on International Conference on Innovation, Communication and Engineering 2024 (ICICE 2024)</br>Submission Date: 2025-07-31</br></br>Theme and Scope AI technologies have brought significant changes to the industry, and these changes are likely to continue influencing the community in the post-pandemic era. Here are some potential prospects of AI technologies for science and industry: 1. Enhanced Data Analysis and Predictive Capabilities: AI technologies have shown great potential in data analysis and predictive capabilities. Companies and research institutions use AI to process and analyze large volumes of data, allowing for more accurate predictions of market trends, consumer behavior, and scientific research directions. This not only improves decision-making accuracy but also significantly reduces the time required for analysis, enhancing operational efficiency and competitiveness. For example, AI can analyze medical data to predict disease outbreaks in advance and develop effective countermeasures. 2. Intelligent Automation and Productivity Improvement: The application of AI technologies in automation has dramatically changed traditional workflows. By incorporating machine learning and natural language processing technologies, many repetitive and low-value tasks can be automated, freeing up human resources to focus on more creative and strategic tasks. Intelligent manufacturing systems in the industrial sector, intelligent customer service in the financial industry, and automated delivery systems in logistics are all typical examples of AI-driven intelligent automation. 3. Personalized Experiences and Service Innovation: AI technologies enable companies to offer highly personalized products and services based on individual needs and preferences. By using deep learning algorithms to analyze user data, companies can provide customized recommendations and service plans for each consumer, thereby improving customer satisfaction and loyalty. For instance, e-commerce platforms use AI to recommend products to consumers, and streaming services offer personalized content recommendations, all of which significantly enhance user experience and market competitiveness. 4. Enhanced Security and Risk Management: With the rapid growth of data and the evolving nature of cyber threats, the application of AI in security and risk management has become increasingly important. AI technologies can monitor and analyze network activities in real-time, quickly identifying and responding to potential security threats, thereby significantly improving the security protection capabilities of enterprises and organizations. Additionally, AI plays a crucial role in risk management in the financial sector by analyzing transaction data and market trends to help companies predict and manage risks, ensuring stable business operations. This special issue will systematically overview and present the latest research in network technology, computing, IoT, and computer engineering technology, with a special focus on artificial intelligence (AI), the Internet of Things (IoT), edge computing, and blockchain technologies. It will outline new developments in fundamental approaches, methodologies, software systems, and applications in these areas. Submissions should consist of novel ideas, original results, and theoretical and applied research on the following topics, but are not limited to: Social Media Network Analysis Social Network Analysis Multi-criteria decision-making Broadband Networks Wireless Communication Telecommunication Networks Transportation Networks UAV-assisted Networks Quantum Internet Network Management Network Behavior Modeling Security for Networks and Systems Multimedia Systems Electronic Service Systems (Internet, Intranet, Extranet, E-Commerce, E-Business, E-Learning) Cloud Computing / Fog Computing / Edge Computing Internet of Things (IoT) and Internet of Everything (IoX) Artificial Intelligence (AI) for Networking and Service (E-Commerce, E-Business, E-Learning) Innovative Applications of Network Technologies Technologies Associated with Big Data, AIoT, and Blockchain Deep Learning Machine Learning Any Other Related Topics We encourage submissions that offer significant advancements and practical solutions in these areas, pushing the boundaries of knowledge and practice in these fields. Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. It should be noted that the prospective authors should only submit an electronic copy of their complete manuscript via emails to Leading Guest Editor Prof. Liang-Wen Ji (vincent.ji1965@gmail.com), not to the JIT submission system. When submitting papers, the authors should specify that the manuscript is for Special Issue: Selected papers from “International Conference on Innovation, Communication and Engineering 2024 (ICICE 2024)”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Important dates Manuscript Submission Deadline: July 31, 2025 Notification of Acceptance/Rejection/Revision: October 31, 2025 Revise Manuscript Due: November 30, 2025 Final Manuscript Due: December 31, 2025 Tentative Publication Date: the fourth quarter of 2026 Guest Editors Prof. Liang-Wen Ji National Formosa University, Taiwan Email: lwji@nfu.edu.tw; vincent.ji1965@gmail.com Prof. Sheng-Joue Young National United University, Taiwan Email: youngsj@nuu.edu.tw Prof. Siu-Tsen Shen National Formosa University, Taiwan Email: shen31@hotmail.com Dr. Stephen D. Prior University of Southampton, United Kingdom Email: S.D.Prior@soton.ac.uk</pre><div class="alert alert-warning">Last updated by <a href="/researcher/1">Dou Sun</a> in 2024-08-24</div></div> </div>  <div class="portlet" id="yw3"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-file"></i> Related Journals</div> </div> <div class="portlet-content"> <div class="hidden-phone"> <div id="yw4" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw4_c0">CCF</th><th id="yw4_c1">Full Name</th><th id="yw4_c2">Impact Factor</th><th id="yw4_c3">Publisher</th><th id="yw4_c4">ISSN</th></tr> </thead> <tbody> <tr class="odd"> <td></td><td><a href="/journal/37">IET Computers and Digital Techniques</a></td><td>0.484</td><td>IET</td><td>1751-8601</td></tr> <tr class="even"> <td><span class="badge badge-warning">c</span></td><td><a href="/journal/36">Future Generation Computer 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