Optimizing Tunnel Boring Efficiency: Insights from Turkish Researchers on New York’s Rock Mass Penetration RatesJanuary 31, 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
Optimizing Land Use Mapping Using Conventional and Metaheuristic Algorithms: Insights from Cairns, Queensland, AustraliaJanuary 27, 2025February 6, 2025
University of Iowa Advances Geopolymer Research with RF, Adaboost, and DT ModelsJanuary 25, 2025February 6, 2025
Boosting Insights: Adaboost Model for Concrete Strength Prediction in Southeast University, ChinaJanuary 23, 2025February 6, 2025
Landslide Susceptibility in Sikkim’s Rangit River Basin: Ensemble Models to the RescueJanuary 21, 2025February 6, 2025
ANN-Based Landslide Susceptibility Mapping for Koyulhisar: A Study from TurkeyJanuary 19, 2025February 6, 2025
PSO-Optimized GB, RF, SVM, and KNN Hybrid Model Developed in Vietnam for Shallow Foundation AnalysisJanuary 17, 2025February 6, 2025
Hybrid ANN Framework with ICA, GA, ABC, and PSO for Dynamic and Static Slope Stability: A Study Conducted in IranJanuary 15, 2025February 6, 2025
VIT Vellore Researcher Advances Ultimate Bearing Capacity Prediction with Relevance Vector MachineJanuary 14, 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
