Water level prediction using various machine learning algorithms: a case study of Durian Tunggal river, Malaysia-Reference-Cited by-同舟云学术

Water level prediction using various machine learning algorithms: a case study of Durian Tunggal river, Malaysia

Published:2022-02-06 Issue:1 Volume:16 Page:422-440
ISSN:1994-2060
Container-title:Engineering Applications of Computational Fluid Mechanics
language:en
Short-container-title:Engineering Applications of Computational Fluid Mechanics

Author:

Ahmed Ali Najah¹^ORCID,Yafouz Ayman¹^ORCID,Birima Ahmed H.²,Kisi Ozgur³⁴^ORCID,Huang Yuk Feng⁵^ORCID,Sherif Mohsen⁶⁷^ORCID,Sefelnasr Ahmed⁷^ORCID,El-Shafie Ahmed⁸^ORCID

Affiliation:

1. Department of Civil Engineering, College of Engineering, Universiti Tenaga Nasional (UNITEN), Selangor, Malaysia

2. Department of Civil Engineering, College of Engineering, Qassim University, Unaizah, Saudi Arabia

3. Department of Civil Engineering, Ilia State University, Tbilisi, Georgia

4. Department of Civil Engineering, University of Applied Sciences, Lübeck, Germany

5. Department of Civil Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Kajang, Malaysia

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

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

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

Publisher

Informa UK Limited

Subject

Modeling and Simulation,General Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19942060.2021.2019128

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4. Ground-level Ozone Prediction Using Machine Learning Techniques: A Case Study in Amman, Jordan

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