Application of machine learning-based surrogate models for urban flood depth modeling in Ho Chi Minh City, Vietnam
Application of machine learning-based surrogate models for urban flood depth modeling in Ho Chi Minh City, Vietnam
, 30/11/2024
, 30/11/2024
Application of machine learning-based surrogate models for urban flood depth modeling in Ho Chi Minh City, Vietnam
Effectiveness in storing and reducing floods of the red river upstream reservoirs under the incident of Lienmac dyke
Development of Tools for Decision Support System Based Hydraulic Simulation and IoT for Irrigation System
Integration of a numerical model in curvilinear coordinates with sand mining component for bottom morphology simulation
Predicting Water Quality Index (WQI) by feature selection and machine learning: A case study of An Kim Hai irrigation system
Management Models and the Sustainability of Rural Water Supply Systems: An Analytical Investigation in Ha Nam Province, Vietnam