Adaptive Ensemble Weighting with Local Competence for Multi-Class Imbalanced Classification S. Obe D. Matthias E. O. Bennett Volume 3, Issue 9, Pages 1-9, September 2026 Multi-class imbalanced classification remains difficult because minority classes can be poorly recognised even when aggregate performance appears acceptable. Many imbalance-handling methods still rely on a fixed technique, a single selected technique, or one level of adaptation, despite the fact that technique suitability changes with both dataset characteristics and local decision regions. ... Read More Article DOI: doi.org/10.47001/JAIET/2026.309001
A Technique for Privacy-Preservation in Ubiquitous Healthcare Monitoring Chigozi Wali Onate Taylor Victor Emmah Volume 3, Issue 9, Pages 10-19, September 2026 Ubiquitous healthcare monitoring systems generate continuous streams of sensitive patient data from wearable sensors, mobile devices, and Internet of Medical Things environments, but existing privacy approaches often protect isolated stages of the data lifecycle while leaving analytical processing, adaptive parameter selection, and patient transparency insufficiently addressed. This paper de... Read More Article DOI: doi.org/10.47001/JAIET/2026.309002
Measuring the Role of Technology and Information Systems in Achieving the Sustainable Development Goals in Middle Eastern Countries Salah M. M. Alghazali Volume 3, Issue 9, Pages 20-28, September 2026 This study examines how the contribution of technology and information systems to the Sustainable Development Goals (SDGs) in Middle Eastern countries is measured across different evidence systems. Rather than estimating a new country-level regression, the study compares three measurement layers: composite digital-government indices, absolute ICT indicators, and published econometric estimat... Read More Article DOI: doi.org/10.47001/JAIET/2026.309003
Explainable Stacked Ensemble Learning Model for Clinical Heart Disease Risk Prediction Tony-Alaede, Chisom Sonia Nwiabu, Nuka Dumle Emmah, Victor Thomas Volume 3, Issue 9, Pages 29-35, September 2026 Successive feature-selection stages can simplify clinical prediction models without necessarily improving their performance. This study examines a sequential Mutual Information (MI)–correlation–LASSO procedure within a stacked ensemble using the Framingham Heart Study and UCI Heart Disease datasets. Five configurations were compared: all processed features, MI only, MI plus correlation, ... Read More Article DOI: doi.org/10.47001/JAIET/2026.309004
Hybrid Transformer-Based Solar PV Panel Detection and Energy Estimation System J. S. S. Prasanna S. Chandra Sekhar Volume 3, Issue 9, Pages 36-48, September 2026 The increasing installation of rooftop solar photovoltaic (PV) systems has created a need for automated techniques that can identify photovoltaic panels from aerial and satellite imagery and convert image-based detections into useful solar-energy information. Manual rooftop inspection is time-consuming and can be inconsistent when panels are small, closely arranged, partially obscured, or sur... Read More Article DOI: doi.org/10.47001/JAIET/2026.309005
An Intelligent Person Detection System for Public Spaces Using YOLOv11 P. Paul Aditya Volume 3, Issue 9, Pages 49-56, September 2026 The increasing use of camera-based monitoring in public spaces requires person detection systems that can operate across changes in illumination, viewpoint, background complexity, crowd density, and object scale. This paper presents an intelligent person detection framework based on YOLOv11m for open-area surveillance. A custom dataset containing more than 6,000 annotated outdoor images was p... Read More Article DOI: doi.org/10.47001/JAIET/2026.309006
Leakage-Aware Fake-News Screening for Nigerian Political Claims: Temporal and Domain Evaluation of a Context-Aware Ensemble Ndudi-Wali Kinikanwo Wisdom Prof. Daniel Matthais Dr. Victor T Emmah Volume 3, Issue 9, Pages 57-67, September 2026 Automatic fake-news classifiers can learn publisher, recurring topics, and other factors unrelated to factual veracity. In this paper, a context-aware classifier is evaluated under temporal and event grouping for Nigerian political and election-related claims. The global training set included a corpus of 29,269 non-synthetic fact-check claims descriptions and a manually verified supplement o... Read More Article DOI: doi.org/10.47001/JAIET/2026.309007
