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The Journal of Intelligence Learning Systems and Applications (JILSA) is a peer reviewed international journal with a key objective to provide the academic and industrial community a medium for presenting original cutting-edge research related to intelligent learning systems and their applications. JILSA invites autho…
Md. Tofael Ahmed, Almas Hossain Antar, Maqsudur Rahman, Abu Zafor Muhammad Touhidul Islam, Dipankar Das, Md. Golam Rashed
When someone threatens or humiliates another person online by sending those unpleasant messages or comments, this is known as Cyberbullying. Recently, Bangla text has been used much more often on social media. People communicate with others on social media th…
Tyler Welander, Ronald Marsh, Bryce Gruber
In this paper, we will be looking at our efforts to find a novel solution for motion deblurring in videos. In addition, our solution has the requirement of being camera-independent. This means that the solution is fully implemented in software and is not awar…
Tao Zhou, Qian Huang, Xiaolong Zhang, Yong Zhang
The complex operating environment in substations, with different safety distances for live equipment, is a typical high-risk working area, and it is crucial to accurately identify the type of live equipment during automated operations. This paper investigates…
Adam M. Ibrahim, Mohammed Elbasheir, Somia Badawi, Ashraf Mohammed, Amir F. Mohammed Alalmin
Skin cancer is a serious and potentially life-threatening disease that affects millions of people worldwide. Early detection and accurate diagnosis are critical for successful treatment and improved patient outcomes. In recent years, deep learning has emerged…
Jia Wang
This paper constructs a multiple collaborative service model of industrial competition intelligence with the main purpose of promoting the development of regional industries. The multiple service subjects include enterprises, governments, colleges and univers…
James W. Mock, Suresh S. Muknahallipatna
Deep reinforcement learning (deep RL) has the potential to replace classic robotic controllers. State-of-the-art Deep Reinforcement algorithms such as Proximal Policy Optimization, Twin Delayed Deep Deterministic Policy Gradient and Soft Actor-Critic Reinforc…
Jeremiah Ratican, James Hutson, Andrew Wright
The realization of an interoperable and scalable virtual platform, currently known as the “metaverse,” is inevitable, but many technological challenges need to be overcome first. With the metaverse still in a nascent phase, research currently indicates that b…
James Hutson, Gaurango Banerjee, Naresh Kshetri, Kurt Odenwald, Jeremiah Ratican
There has been disagreement over the value of purchasing space in the metaverse, but many businesses including Nike, The Wendy’s Company, and McDonald’s have jumped in headfirst. While the metaverse land rush has been called an “illusion” given underdeveloped…
James Hutson, Ben Fulcher, Joseph Weber
The gamification of learning has proven educational benefits, especially in secondary education. Studies confirm the successful engagement of students with improved time on task, motivation and learning outcomes. At the same time, there remains little researc…
Ilman Shazhaev, Dimitry Mihaylov, Abdulla Shafeeg
The Highlights are the most interesting, selling moments from video stream, which can make the viewer watch the entire video. They are like a shop window: everything that is bright and colorful goes there. Seeing them, the user can understand in advance what…
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The Journal of Intelligence Learning Systems and Applications (JILSA) is a peer reviewed international journal with a key objective to provide the academic and industrial community a medium for presenting original cutting-edge research related to intelligent learning systems and their applications. JILSA invites autho… All articles are open access under a CC BY 4.0 licence, with authors retaining copyright.
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