Modeling the infiltration rate of wastewater infiltration basins considering water quality parameters using different artificial neural network techniques-Reference-Cited by-同舟云学术

Modeling the infiltration rate of wastewater infiltration basins considering water quality parameters using different artificial neural network techniques

Published:2022-02-02 Issue:1 Volume:16 Page:397-421
ISSN:1994-2060
Container-title:Engineering Applications of Computational Fluid Mechanics
language:en
Short-container-title:Engineering Applications of Computational Fluid Mechanics

Author:

Abdalrahman Ghada¹,Lai Sai Hin¹,Kumar Pavitra¹,Ahmed Ali Najah²^ORCID,Sherif Mohsen³⁴^ORCID,Sefelnasr Ahmed³^ORCID,Chau Kwok Wing⁵^ORCID,Elshafie Ahmed¹³^ORCID

Affiliation:

1. Department of Civil Engineering, Faculty of Engineering, University of Malaya (UM), Kuala Lumpur, Malaysia

2. Institute of Energy Infrastructure (IEI), Department of Civil Engineering, College of Engineering, Universiti Tenaga Nasional (UNITEN), Selangor, Malaysia

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

4. Civil and Environmental Engineering Department, College of Engineering, United Arab Emirates University, Al Ain, United Arab Emirates

5. Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong

Funder

UMRG

United Arab Emirate University

Asian Universities Alliance

Publisher

Informa UK Limited

Subject

Modeling and Simulation,General Computer Science

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