Tag: water distribution networks

A hybrid systematic review and experimental benchmark of five deep learning architectures reveals which neural networks can realistically detect and ...

Researchers coupled an improved artificial bee colony algorithm with EPANET simulations to simultaneously identify the location, timing, and concentration of ...

A new systematic review shows that machine learning, particularly tree-based ensembles and Random Survival Forests, can reliably predict water pipeline ...

A new digital twin framework uses ensemble forecasting and a fast, explainable confidence index to defer non-critical water maintenance during ...