Comparative Analysis of Machine Learning Algorithms for Water Quality Prediction
Authors
Asad Ellahi
Department of Statistics, Quaid-I-Azam University, Islamabad; Department of Community Medicine, Wah Medical College, National University of Medical Sciences, Rawalpindi
Department of Statistics, Quaid-I-Azam University, Islamabad; Department of Statistics, Kohsar University Murree, Murree
Mohsin Khan
Department of biological sciences, Quaid-I-Azam University, Islamabad
Saad Sh. Sammen
Department of Civil Engineering, College of Engineering, Diyala University, Diyala Governorate
Miklas Scholz
Miklas.Scholz@bso-oberursel.de
Department of Civil Engineering Science, School of Civil Engineering, and the Built Environment, Faculty of Engineering and the Built Environment, University of Johannesburg, Kingsway Campus, PO Box 524, Aukland Park 2006, Johannesburg, ZA; Department of Urban Drainage, Bau & Service Oberursel (BSO), Postfach 1280, 61402 Oberursel (Taunus); Kunststoff-Technik Adams, Specialist Company According to Water Law, Schulstraße 7, 26931 Elsfleth, DE; Nexus by Sweden, Skepparbacken 5, 722 11 Västerås, SE; Department of Town Planning, Engineering Networks and Systems, South Ural State University (National Research University), 76, Lenin prospekt, Chelyabinsk 454080
DOI: https://doi.org/10.16993/tellusa.4069 | Journal eISSN: 3035-9554
Language: English
Page range: 177 - 192
Submitted on: Mar 26, 2024
Accepted on: Jul 12, 2024
Published on: Jul 30, 2024
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
Keywords:
© 2024 Muhammad Akhlaq, Asad Ellahi, Rizwan Niaz, Mohsin Khan, Saad Sh. Sammen, Miklas Scholz, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.