Application of artificial intelligence to estimate dispersion coefficient and pollution in river

Author:

Khurshid Saba,Ara Zeenat,Ahsan Naved

Publisher

Elsevier

Reference43 articles.

1. An ANN based approach to estimate longitudinal dispersion coefficient using dimensionally consistent input parameters;Ahsan;Research and Development (IJCSEIERD),2013

2. Modeling water quality parameters using data-driven models, a case study abu-Ziriq Marsh in South of Iraq;Al-Mukhtar;Hydrology,2019

3. Development of wavelet-ANN models to predict water quality parameters in Hilo Bay, Pacific Ocean;Alizadeh;Marine Pollution Bulletin,2015

4. Comparative assessment of individual and ensemble machine learning models for efficient analysis of river water quality;Alqahtani;Sustainability,2022

5. Modeling river water quality parameters using modified adaptive neuro fuzzy inference system;Azad;Water Science and Engineering,2019

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