RF, XGBoost and NGBoost Machine Learning Approaches for Landslide Mapping: Insights from Trabzon Province, TurkeyFebruary 6, 2025February 6, 2025•0
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Vietnam Researchers Develop 12 Models to Predict CBR of Stabilized Soil with Industrial WasteFebruary 2, 2025February 6, 2025•0
Artificial Neural Network Approach for Predicting Pile Settlement Using Standard Penetration Test Data: A Case Study from IranJanuary 29, 2025February 6, 2025•1
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Landslide Susceptibility in Sikkim’s Rangit River Basin: Ensemble Models to the RescueJanuary 21, 2025February 6, 2025•0
ANN-Based Landslide Susceptibility Mapping for Koyulhisar: A Study from TurkeyJanuary 19, 2025February 6, 2025•0
PSO-Optimized GB, RF, SVM, and KNN Hybrid Model Developed in Vietnam for Shallow Foundation AnalysisJanuary 17, 2025February 6, 2025•0
Hybrid ANN Framework with ICA, GA, ABC, and PSO for Dynamic and Static Slope Stability: A Study Conducted in IranJanuary 15, 2025February 6, 2025•0
VIT Vellore Researcher Advances Ultimate Bearing Capacity Prediction with Relevance Vector MachineJanuary 14, 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
