Groundwater quality parameters prediction based on data-driven models-Reference-Cited by-同舟云学术

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Groundwater quality parameters prediction based on data-driven models

Published:2024-06-13 Issue:1 Volume:18 Page:
ISSN:1994-2060
Container-title:Engineering Applications of Computational Fluid Mechanics
language:en
Short-container-title:Engineering Applications of Computational Fluid Mechanics

Author:

Allawi Mohammed Falah¹,Al-Ani Yasir¹,Jalal Arkan Dhari¹,Ismael Zainab Malik²,Sherif Mohsen³,El-Shafie Ahmed³⁴

Affiliation:

1. Dams and Water Resources Engineering Department, College of Engineering, University of Anbar, Ramadi, Iraq

2. Department of Computer Engineering Tech, Al-Maarif University College, Ramadi, Anbar Province, Iraq

3. National Water and Energy Center, United Arab Emirate University, Al Ain, United Arab Emirates

4. Department of Civil Engineering, Faculty of Engineering, Universiti Malaya (UM), Kuala Lumpur, Malaysia

Funder

United Arab Emirates University

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/19942060.2024.2364749

Reference68 articles.

1. Prediction of weld strength and seam width for laser transmission welding of thermoplastic using response surface methodology

2. Predicting quality parameters of wastewater treatment plants using artificial intelligence techniques

3. Management of validation of HPLC method for determination of acetylsalicylic acid impurities in a new pharmaceutical product

4. Monthly rainfall forecasting modelling based on advanced machine learning methods: tropical region as case study

5. Application of Computational Model Based Probabilistic Neural Network for Surface Water Quality Prediction

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1. Assessing the physicochemical properties of surface/groundwater of Sudhnoti district, Azad Jammu and Kashmir: Impacts on lindane degradation by photocatalysis;Physics and Chemistry of the Earth, Parts A/B/C;2024-10

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