Predicting Geogrid Pullout Resistance: How Machine Learning is Revolutionizing Geotechnical EngineeringApril 15, 2025
Poland Researcher Applies ML Models for Accurate Permeability PredictionMarch 3, 2025February 6, 2025
RF and DNN approach to predict tip resistance (qc) and sleeve resistance (fs) of CPT: A Study from BrazilFebruary 26, 2025February 6, 2025
Integrating Swarm Intelligence and MLP for Accurate Soil Compression Coefficient EstimationFebruary 24, 2025February 6, 2025
Unconfined Compressive Strength Prediction of Geopolymer Stabilized Clayey Soil using Random Forest: Insights from IraqFebruary 22, 2025February 6, 2025
Modelling Seismic Liquefaction with Minimax Probability Machine: A Study from VIT VelloreFebruary 16, 2025February 6, 2025
Wuhan Researcher Uses Neural Networks to Unlock Soil Thermal PropertiesFebruary 12, 2025February 6, 2025
Vietnam Researchers Develop 12 Models to Predict CBR of Stabilized Soil with Industrial WasteFebruary 2, 2025February 6, 2025
Neural Network Model Inspired by Emotional Intelligence for Liquefaction Susceptibility: A Study in Patna, IndiaJanuary 13, 2025February 6, 2025
A researcher from Jordan developed SVM, QDA, and DT machine learning models for predicting soil liquefactionJanuary 12, 2025February 6, 2025
