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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…
Samuel Ocen, Lawrence Muchemi, Michaelina Almaz Yohannis, 1 1
Predicting the progression from Mild Cognitive Impairment (MCI) to Alzheimer's Disease (AD) is a critical challenge for enabling early intervention and improving patient outcomes. While longitudinal multi-modal neuroimaging data holds immense potential for ca…
Azimkhon Ostonov, Kerven Durdymyradov, Mikhail Moshkov
A binary complete decision table with many-valued decisions is a table with n attributes and 2 n pairwise distinct rows filled with numbers from the set { 0 , 1 } . Each row of this table is labeled with a nonempty finite set of decisions. For a given row of…
Kerven Durdymyradov, Mikhail Moshkov
We consider various tasks of recognizing properties of DRSs (Decision Rule Systems) in this paper. As solution algorithms, DDTs (Deterministic Decision Trees) and NDTs (Nondeterministic Decision Trees) are used. An NDT can be considered as a representation of…
Edwin Ohiorenuan Imohimi
The educational sector’s technological evolution led to quick market growth of immersive learning tools which specifically benefit students of Science Technology Engineering and Mathematics fields. Augmented Reality (AR) creates an innovative method for colle…
Edwin Ohiorenuan Imohimi
Artificial Intelligence (AI) integrated with educational technology (EdTech) platforms revolutionizes personalized learning through adaptive assessments as well as provides real-time feedback. These innovative educational systems heavily depend on the collect…
Mst. Hasna Akter, Soumitra Palit, Kazi Md. Shahadat Hossain, Md. Ekramul Hoque, Tahera Shabnam
The COVID-19 pandemic exposed critical vulnerabilities in global medical supply chains, resulting in widespread shortages of essential healthcare products. This study aims to optimize the resilience of medical supply chains against future pandemics by evaluat…
Vladimir N. Shats
The paper is devoted to the optimization of data structure in classification and clustering problems by mapping the original data onto a set of ordered feature vectors. When ordering, the elements of each feature vector receive new numbers such that their val…
Abdullah Al Nahian, Sujana Samia, Md Tahnun M. Hussan, Foysal Mahmud, Md Nagib Mahfuz Sunny, Syed Walid Ahmed, Nusrat Jahan
Rising outpatient healthcare costs, particularly due to brand-name and non-optimized drug prescriptions, have created an urgent need for intelligent, cost-saving interventions. Traditional prescribing often overlooks equally effective, lower-cost drug alterna…
Hossein Ahmadi, Sajjad Emdadi Mahdimahalleh, Arman Farahat, Banafsheh Saffari
The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in unsupervised learning. This review synthesizes recent progress in applying au…
Maqsudur Rahman, Md. Shahjahan
The rapid advancements in large language models (LLMs) have led to an exponential increase in survey papers, making it challenging to systematically track and analyze their evolving taxonomy. This study employs graph representation learning combined with clas…
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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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