Open access
Jul 2026
A Hybrid Metaheuristic-Optimized Machine Learning Framework for Predicting Pile Capacity Using High Strain Dynamic Testing Data
A high-fidelity hybrid predictive framework that synergizes advanced machine learning architectures with nature-inspired metaheuristic optimizers that presents a highly reliable, physically explainable, and cost-effective alternative to ubiquitous physical testing, advancing the paradigm of digital geotechnical engineering.
Rufaizal Che Mamat, A. Ramli, Muhammad Nasim Abdul Ghani
· Current Problems in Research · 0 citations