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Prediction and assessment of water quality index for surface water using 1D CNN and SVR models.

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Title: Prediction and assessment of water quality index for surface water using 1D CNN and SVR models.
Authors: Slatnia A; LASS, Laboratory of Analysis of Signals and Systems, Department of Electronics, Faculty of Technology, University of M'Sila, M'Sila, 28000, Algeria.; Department of Electronics, Faculty of Technology, University of M'Sila, M'Sila, 28000, Algeria., Ouali MA; Department of Electronics, Faculty of Technology, University of M'Sila, M'Sila, 28000, Algeria., Ladjal M; LASS, Laboratory of Analysis of Signals and Systems, Department of Electronics, Faculty of Technology, University of M'Sila, M'Sila, 28000, Algeria. mohamed.ladjal@univ-msila.dz.; Department of Electronics, Faculty of Technology, University of M'Sila, M'Sila, 28000, Algeria. mohamed.ladjal@univ-msila.dz., Bennacer H; Department of Electronics, Faculty of Technology, University of M'Sila, M'Sila, 28000, Algeria.; Elaboration and Physico-Mechanical and Metallurgical Characterization of Materials Laboratory, University of Mostaganem, ECP3M, Mostaganem, 27000, Algeria.
Source: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2026 Mar; Vol. 33 (11), pp. 5027-5056. Date of Electronic Publication: 2026 Mar 16.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1614-7499 (Electronic) Linking ISSN: 09441344 NLM ISO Abbreviation: Environ Sci Pollut Res Int Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1614-7499
DOI:10.1007/s11356-026-37556-8