Predicting Geogrid Pullout Resistance: How Machine Learning is Revolutionizing Geotechnical EngineeringApril 15, 2025•0
AI for Earthquake Early Warning: CNN-Based Rapid Magnitude EstimationMarch 14, 2025February 6, 2025•0
Poland Researcher Applies ML Models for Accurate Permeability PredictionMarch 3, 2025February 6, 2025•0
RF and DNN approach to predict tip resistance (qc) and sleeve resistance (fs) of CPT: A Study from BrazilFebruary 26, 2025February 6, 2025•0
Integrating Swarm Intelligence and MLP for Accurate Soil Compression Coefficient EstimationFebruary 24, 2025February 6, 2025•0
Unconfined Compressive Strength Prediction of Geopolymer Stabilized Clayey Soil using Random Forest: Insights from IraqFebruary 22, 2025February 6, 2025•0
Modelling Seismic Liquefaction with Minimax Probability Machine: A Study from VIT VelloreFebruary 16, 2025February 6, 2025•0
Wuhan Researcher Uses Neural Networks to Unlock Soil Thermal PropertiesFebruary 12, 2025February 6, 2025•0
Vietnam Researchers Develop 12 Models to Predict CBR of Stabilized Soil with Industrial WasteFebruary 2, 2025February 6, 2025•0
Neural Network Model Inspired by Emotional Intelligence for Liquefaction Susceptibility: A Study in Patna, IndiaJanuary 13, 2025February 6, 2025•0
A researcher from Jordan developed SVM, QDA, and DT machine learning models for predicting soil liquefactionJanuary 12, 2025February 6, 2025•0
