Integrating CCME-WQI and Machine Learning for Groundwater Quality in the Sedrata Plain
Authors
Laboratory of Modeling and Socio-Economic Analysis in Water Science - MASESE - Mohamed Cherif Messaadia University, Souk Ahras, Algeria
Laboratory of Science and Techniques for Living, Souk Ahras University, Algeria
Applied Automation and Industrial Diagnostics Laboratory, Faculty of Science and Technology, University of Djelfa DZ, Algeria
Laboratory Science and Technical of Water and Environment, Souk Ahras University, Algeria
Laboratory of Life Sciences and Techniques, University of Mohamed Cherif Messaadia, Souk-Ahras, Algeria
Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia
Delta Higher Institute of Engineering and Technology, Department for Communications and Electronics, Mansoura, Egypt
Jadara Research Center, Jadara University, Irbid, Jordan
abdelaziz.rabehi@univ-djelfa.dz
Laboratory of Telecommunication and Smart Systems (LTSS), Faculty of Science and Technology University of Djelfa, Djelfa, Algeria
DOI: https://doi.org/10.2478/eces-2026-0025 | Journal eISSN: 2084-4549 (formerly 1898-6196) | Journal ISSN: 1898-6196
Language: English
Page range: 481 - 500
Published online: Oct 11, 2026
Published in print: Sep 1, 2026
Published by: Society of Ecological Chemistry and Engineering
In partnership with: Paradigm Publishing Services
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© 2026 Fethi Nadour, Abdallah Chabbi, Mohamed Nadour, Noureddine Zenati, Nabiha Belahcene, Amal H. Alharbi, El-Sayed M. El-Kenawy, Abdelaziz Rabehi, published by Society of Ecological Chemistry and Engineering
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.