Vol. 1 No. 1 (2026): IIAR Journal of Science, Engineering, and Applied Research

DOI: https://doi.org/10.68854/arfvfn91

Published: 2026-10-27

Articles

Physics-Informed and Data-Driven Modelling in Engineering: A Theoretical Framework for Choosing Between Mechanistic, Machine-Learning and Hybrid Approaches Under Data Scarcity

Atolagbe Umar Kawu, NWOGBOJI Emmanuel Usulor, Paul Idowu Bamigbola

1-9
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Artificial Intelligence for Infrastructure Health Monitoring in Low-Maintenance Environments: A Theoretical Account of Sensing, Inference and Intervention for Roads, Bridges and Power Systems

Atolagbe Umar Kawu, NWOGBOJI Emmanuel Usulor, Igwe Emmanuel Sunday, Paul Idowu Bamigbola

19-27
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Renewable Energy Systems and Artificial Intelligence: A Theoretical Framework for Forecasting, Optimisation and Control in Weak-Grid and Off-Grid Contexts

Atolagbe Umar Kawu, NWOGBOJI Emmanuel Usulor, Igwe Emmanuel Sunday

28-36
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Trustworthy Artificial Intelligence in Safety-Critical Engineering Systems: A Theoretical Framework of Verification, Robustness and Certification for Learned Components

Atolagbe Umar Kawu, NWOGBOJI Emmanuel Usulor, OGAH SUNDAY OGBO, Igwe Emmanuel Sunday, Paul Idowu Bamigbola

10-18
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Incommensurable Targets in Machine Learning for Nanomaterials: How Dose-Metric Heterogeneity Imposes an Irreducible Error Floor on Pooled Training Data

Igwe Emmanuel Sunday, UDEH Samuel Chibueze

37-46
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