Evolutionary Computing and Neural Networks: Unlocking Ultimate Bearing Capacity in VietnamFebruary 10, 2025February 6, 2025•0
Crack Prediction in Asphalt Pavement: A Genetic Operation Tree Approach in TexasFebruary 8, 2025February 6, 2025•0
RF, XGBoost and NGBoost Machine Learning Approaches for Landslide Mapping: Insights from Trabzon Province, TurkeyFebruary 6, 2025February 6, 2025•0
Stacked Machine Learning: A Game Changer for Ground Anchor Capacity EstimationFebruary 6, 2025February 6, 2025•0
Advanced Machine Learning Techniques for Beam-Joint Failure Prediction: Insights from Los Angeles, USAFebruary 4, 2025February 6, 2025•0
Vietnam Researchers Develop 12 Models to Predict CBR of Stabilized Soil with Industrial WasteFebruary 2, 2025February 6, 2025•0
Optimizing Tunnel Boring Efficiency: Insights from Turkish Researchers on New York’s Rock Mass Penetration RatesJanuary 31, 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
Optimizing Land Use Mapping Using Conventional and Metaheuristic Algorithms: Insights from Cairns, Queensland, AustraliaJanuary 27, 2025February 6, 2025•0
University of Iowa Advances Geopolymer Research with RF, Adaboost, and DT ModelsJanuary 25, 2025February 6, 2025•0
Boosting Insights: Adaboost Model for Concrete Strength Prediction in Southeast University, ChinaJanuary 23, 2025February 6, 2025•0
Landslide Susceptibility in Sikkim’s Rangit River Basin: Ensemble Models to the RescueJanuary 21, 2025February 6, 2025•0
