An Institutional Repository (IR) is a digital service that collects, preserves, and distributes digital material. It serves as the home for the intellectual output of MUT academic communities, and will ultimately include digital dissertations, faculty publications, digital special collections, open access publications, open educational resources and much more.
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Integrating Artificial Intelligence in Open, Distance, and e-Learning (ODeL): A Systematic Literature Review
(International Journal of Computer Applications Technology and Research, 2025)Artificial Intelligence (AI) is increasingly transforming Open, Distance, and e-Learning (ODeL) by enhancing personalization, automating assessments, and enabling immersive learning environments. This study employs a ... -
A Comparative Analysis Of Class Imbalance Handling Techniques For Deep Models In The Detection Of Anomalies In Energy Consumption
(International Journal of Artificial Intelligence and Applications (IJAIA), 2024)Detecting anomalies in energy consumption is critical for efficient energy management, fault detection, and sustainability. However, the challenge of class imbalance, where normal consumption data vastly outweighs anomalous ... -
Systematic Review Of Models Used To Handle Class Imbalance In Anomaly Detection For Energy Consumption
(International Journal of Artificial Intelligence and Applications (IJAIA), 2024)The widespread integration of Smart technologies into energy consumption systems has brought about a transformative shift in monitoring and managing electricity usage. The imbalanced nature of anomaly data often results ... -
Effect Of Digital Transformation On Competitive Advantage In Telecommunications Sector: A Case Study Of Airtel Limited, Nairobi, Kenya
(EPRA International Journal of Economics, Business and Management Studies (EBMS), 2025)In Kenya’s highly competitive telecommunications sector, Airtel Limited faces challenges in sustaining a competitive advantage amidst rapid technological advancements and market dynamics. This study investigates the effect ... -
A Unified U-Net-VisionMambaModel with Hierarchical Bottleneck Attention for Detection of Tomato Leaf Diseases
(Journal of Artificial Intelligence, 2025)Tomato leaf diseases significantly reduce crop yield; therefore, early and accurate disease detection is required. Traditional detection methods are laborious and error-prone, particularly in large-scale farms, whereas existing ...
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