An optimized extreme learning machine by evolutionary computation for river flow prediction and simulation of water pollution in Colorado River Basin, USA
M Poursaeid - Expert Systems with Applications, 2023 - Elsevier
Humanity is witnessing scientific advances and since one of the vital concerns has been
accessing water for drinking and agriculture, scientific innovations have been used to solve …
accessing water for drinking and agriculture, scientific innovations have been used to solve …
A new strategy for prediction of water qualitative and quantitative parameters by deep learning-based models with determination of modelling uncertainties
M Poursaeid, AH Poursaeed - Hydrological Sciences Journal, 2024 - Taylor & Francis
This study presents a new method based on three types of deep learning-based models
(DLM) for estimation of water parameters. The DLM models were recurrent neural networks …
(DLM) for estimation of water parameters. The DLM models were recurrent neural networks …
Modeling the Water Pollutants Nonlinear-based Problems Using Optimized Intelligence Techniques and Determination of Uncertainties
M Poursaeid, AH Poursaeed - 2022 - researchsquare.com
Along with the global population growth, the human need for safe drinking water sources
has increased. With global warming, the water challenge is perhaps the most crucial …
has increased. With global warming, the water challenge is perhaps the most crucial …