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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…
Abdelrahman Elsharif Karrar
Prostate cancer remains one of the most prevalent malignancies among men worldwide and achieving an accurate and timely diagnosis is essential for guiding appropriate treatment decisions and improving patient outcomes. In recent years, Artificial Intelligence…
Vanessa Innocenta Lonlac Magolac, Ribot Fleury Tene Ceskoutsé, Geh Wilson Ejuh, Jean Pierre Lienou
Stroke remains a leading cause of mortality and disability worldwide, requiring timely therapeutic decisions. Existing content-based drug recommendation approaches often rely on static similarity measures and multi-stage pipelines (e.g., clustering followed b…
Thudugalage Don Chaminda Pushpakumara, Fazeela Jameel Ahsan, D. A. C. Suranga Silva
Artificial Intelligence (AI) offers transformative potential for the tourism industry by enhancing operational efficiency, personalizing visitor experiences, and advancing sustainability objectives. In the ecotourism sector, AI-powered chatbots can provide re…
Rahima Ali Mohammed Aljamudi, Mohammad Sherfudeen Chagla, 1 1
Artificial Intelligence (AI) has revolutionized the world in all spheres of life. Starting with the fundamentals, AI has altered key areas in the industry and is now poised to encroach upon the realm of education, most notably in higher education. Undoubtedly…
Nouf Alharbi
This paper proposes a multi-modal deep learning framework for Arabic Sign Language (ArSL) recognition, addressing the challenges of both static and dynamic gesture recognition. The framework integrates spatial, temporal, and depth features using CNN, Transfor…
Samuel Ocen, Ritah Nafuna, Azizi Wasike, 1 1, 1 1
Foot-and-Mouth Disease (FMD) remains a critical threat to global livestock industries, causing severe economic losses and trade restrictions. This paper proposes a novel application of Temporal Graph Networks (TGNs) to forecast FMD outbreak risk with a four-w…
Adam M. Ibrahim, Mohammed Elbasheir, Ashraf Mohammed Saadeldeen, Somia Badawi, Ahmed Khalid, Amir Fadlalmola Mohammed Alamin, 1 1
Breast cancer is the most common cancer among women worldwide, posing significant diagnostic challenges. Traditional diagnostic techniques, while foundational, often lack precision and fail to provide clear insights into their decision-making processes. This…
Conrad Onésime Oboulhas Tsahat, Charmolavy Goslavy Lionel Nkouka Moukengue, Ngoulou-A-Ndzeli
The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior using deep learning methods and ensuring interpretability of decisions. A four-module architecture is proposed: log collection and aggreg…
Samuel Ocen, Musitapha Katalihwa, Derrick Mwanje
Student dropout in primary education is a critical global challenge with significant long-term societal and individual consequences. Early identification of at-risk students is a crucial first step towards implementing effective intervention strategies. This…
Anil Kumar Soni, Ravinder Kumar
Agentic AI represents a significant advancement in artificial intelligence, enabling proactive agents that can set goals, make decisions, and adapt to changing situations. However, the performance of these systems is heavily dependent on the quality and relev…
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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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