Crack Prediction in Asphalt Pavement: A Genetic Operation Tree Approach in TexasFebruary 8, 2025February 6, 2025
RF, XGBoost and NGBoost Machine Learning Approaches for Landslide Mapping: Insights from Trabzon Province, TurkeyFebruary 6, 2025February 6, 2025
Stacked Machine Learning: A Game Changer for Ground Anchor Capacity EstimationFebruary 6, 2025February 6, 2025
Advanced Machine Learning Techniques for Beam-Joint Failure Prediction: Insights from Los Angeles, USAFebruary 4, 2025February 6, 2025
Vietnam Researchers Develop 12 Models to Predict CBR of Stabilized Soil with Industrial WasteFebruary 2, 2025February 6, 2025
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
