[HTML][HTML] The role of deep learning in urban water management: A critical review
Deep learning techniques and algorithms are emerging as a disruptive technology with the
potential to transform global economies, environments and societies. They have been …
potential to transform global economies, environments and societies. They have been …
The state of the art in deep learning applications, challenges, and future prospects: A comprehensive review of flood forecasting and management
Floods are a devastating natural calamity that may seriously harm both infrastructure and
people. Accurate flood forecasts and control are essential to lessen these effects and …
people. Accurate flood forecasts and control are essential to lessen these effects and …
Deep learning methods for flood map**: a review of existing applications and future research directions
Deep Learning techniques have been increasingly used in flood management to overcome
the limitations of accurate, yet slow, numerical models, and to improve the results of …
the limitations of accurate, yet slow, numerical models, and to improve the results of …
A comprehensive review of deep learning applications in hydrology and water resources
M Sit, BZ Demiray, Z ** with catchment generalizability
Z Guo, V Moosavi, JP Leitão - Journal of Hydrology, 2022 - Elsevier
Data-driven and machine learning models have recently received increasing interest to
resolve the computational speed challenge faced by various physically-based simulations. A …
resolve the computational speed challenge faced by various physically-based simulations. A …