Modelling Seismic Liquefaction with Minimax Probability Machine: A Study from VIT VelloreFebruary 16, 2025February 6, 2025
VIT Vellore Researchers Use LSSVM and MARS for Pile Load PredictionsFebruary 14, 2025February 6, 2025
Evolutionary Computing and Neural Networks: Unlocking Ultimate Bearing Capacity in VietnamFebruary 10, 2025February 6, 2025
Stacked Machine Learning: A Game Changer for Ground Anchor Capacity EstimationFebruary 6, 2025February 6, 2025
Artificial Neural Network Approach for Predicting Pile Settlement Using Standard Penetration Test Data: A Case Study from IranJanuary 29, 2025February 6, 2025
PSO-Optimized GB, RF, SVM, and KNN Hybrid Model Developed in Vietnam for Shallow Foundation AnalysisJanuary 17, 2025February 6, 2025
VIT Vellore Researcher Advances Ultimate Bearing Capacity Prediction with Relevance Vector MachineJanuary 14, 2025February 6, 2025
