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Article Title
Physics-Informed and Explainable Machine Learning for Expansive Soil Swell–Shrink Dynamics: A Critical Review of Computational Architectures, Constraints, and Validation Paradigms in Geotechnical AI
Authored by
Chukwuemeka Uchenna Anosike
Information Technology and Project Management, University of Denver, Colorado, United States.
Chidera Kingsley Eze
Civil Engineering Department, School of Computing, Engineering & Digital Technologies, Teesside University, Middlesbrough, United Kingdom.
Onyeama Odirachukwu Godswill
Department of Civil Engineering, Enugu State University of Science and Technology, Enugu State, Nigeria.