Hydrologically Informed Machine Learning for Rainfall‐Runoff Modeling: A Genetic Programming‐Based Toolkit for Automatic Model Induction

by Chadalawada, Jayashree, Herath, HMVV, Babovic, Vladan
Published 2020

Impacts of regional characteristics on improving the accuracy of groundwater level prediction using machine learning: The case of central eastern continental United States

by Cai, Hejiang, Shi, Haiyun, Liu, Suning, Babovic, Vladan
Published 2022

Genetic programming for hydrological applications: To model or to forecast that is the question

by Herath, Herath Mudiyanselage Viraj Vidura, Chadalawada, Jayashree, Babovic, Vladan
Published 2022

Hydrologically informed machine learning for rainfall-runoff modelling: Towards distributed modelling

by Herath, Herath Mudiyanselage Viraj Vidura, Chadalawada, Jayashree, Babovic, Vladan
Published 2022

Development of a modular streamflow model to quantify runoff contributions from different land uses in tropical urban environments using Genetic Programming

by Meshgi A., Schmitter Petra, Chui Ting Fong May, Babovic Vladan
Published 2016

Analyzing the physics of non-tidal barotropic sea level anomaly events using multi-scale numerical modelling in Singapore regional waters

by Kurniawan, Alamsyah, Tay, Serene Hui Xin, Ooi, Seng Keat, Babovic, Vladan, Gerritsen, Herman
Published 2020

Valuing flexibilities in the design of urban water management systems

by Deng, Yinghan, Cardin, Michel-Alexandre, Babovic, Vladan M., Santhanakrishnan, Deepak, Schmitter, Petra, Meshgi, Ali
Published 2016