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RISEvaluating the Performance of ANN, SVR, RF, and XGBoost in the Prediction of Maximum Temperature and Heat Wave Days over Rajasthan, India
Publisher: American Society of Civil Engineers
Abstract: This study attempts to predict the maximum temperature, along with the number of heat wave days (HWDs) at lead times of 7 and 15 days over Rajasthan, i.e., a semiarid region, using four machine learning (ML) ...
Application of Hybrid AI Models for Accurate Prediction of Scour Depths under Submerged Circular Vertical Jet
Publisher: ASCE
Abstract: This study utilized hybrid artificial intelligence (AI) models, created by integrating the extreme gradient boosting model with particle swarm optimization (XGBoost-PSO) and differential evolution (XGBoost-DE) algorithms. ...