An Explainable Hybrid XGBoost Framework for Stability of Anchored Sheet Pile Walls

Data-driven reliability evaluation of soil slopes using FOSM-integrated hybrid extreme gradient boosting models

Metaheuristic-optimized CatBoost for circular slope stability prediction: comparative benchmarking and SHAP-based interpretation

An information-theoretic and explainable hybrid extreme learning machine framework for seismic soil liquefaction assessment

Machine Learning Framework for Reliability-Based Design of Screw Piles

Probabilistic Stability Analysis of Rock Slope Using Soft Computing Techniques ANN, PSO and ANFIS

In the present paper, probabilistic reliability analysis is performed for rock slope stability on a rock mass slope section using three different soft computing techniques: Artificial Neural Network (ANN), Particle Swarm Optimisation (PSO) and Adaptive Network-based Fuzzy Inference System (ANFIS). For performing the re...

Prediction and interpretation of shear strength in rectangular reinforced concrete walls under axial load using GP-optimized XGBoost

This study investigates the applicability of machine learning models for predicting the shear strength of rectangular reinforced concrete (RC) walls subjected to axial load. A comprehensive experimental database consisting of 456 wall specimens was compiled, including geometric parameters, reinforcement ratios, materia...