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Ahmed Idowu Agbelejoye

Publications (3)

AI-Driven Predictive Quality Control for Real-Time Defect Detection and Process Optimization in Smart Manufacturing

Chidera Anastacia Ezeh, Ayomide Oladele, Ahmed Idowu Agbelejoye, Samson Anuoluwapo Adeniyi, Lawal Sulaimon Abiodun, Gbuchie Chisom Vivian & Confidence Adimchi Chinonyerem · Asian Journal of Advanced Research and Reports · 2026

Smart manufacturing requires quality-control systems capable of detecting defects and responding to process deviations in real time. This study develops an AI-driven predictive quality-control framework that integrates machine vision, sensor-based monitoring, sequential process m...

Open access Research Article 10.9734/ajarr/2026/v20i101480

Integrating Artificial Intelligence and Data Science for Financial Decision-making and Business Performance Optimization

Patricia Ugochi Uzoma, Kehinde Akinwale, Blessing Itodo, Gideon Mawuli Gozah, Ahmed Idowu Agbelejoye & Confidence Adimchi Chinonyerem · Asian Journal of Advanced Research and Reports · 2026

Artificial Intelligence (AI) and Data Science are increasingly used to support corporate financial decision-making, yet uncertainty remains regarding how analytical maturity and AI adoption translate into measurable business performance. This study developed and evaluated an inte...

Open access Research Article 10.9734/ajarr/2026/v20i91459

Integrating Remote Sensing, Geographic Information Systems, and Machine Learning for Environmental Monitoring and Sustainable Resource Management

Ebuka Victor Ezelobe, Chijioke George Edeh, Elorm Adjoa Gomli, Julius Odemi Brown, Kayode Elizabeth Omolara, Ahmed Idowu Agbelejoye & Confidence Adimchi Chinonyerem · Asian Journal of Advanced Research and Reports · 2026

Environmentally sensitive coastal areas are rapidly becoming urbanised, increasing pressure on vegetation, wetlands, surface-water resources and the natural resource base. The current study combines remote sensing, Geographic Information Systems (GIS) and machine learning to eval...

Open access Research Article 10.9734/ajarr/2026/v20i101483