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Machine learning for better prediction of seepage flow through embankment dams: Gaussian process regression versus SVR and RVM.
Environ Sci Pollut Res Int. 2023 Feb;30(9):24751-24763. doi: 10.1007/s11356-023-25446-2. Epub 2023 Jan 24.
Environ Sci Pollut Res Int. 2023.
PMID: 36692714
Evolving connectionist systems (ECoSs): a new approach for modeling daily reference evapotranspiration (ET0).
Heddam S, Watts MJ, Houichi L, Djemili L, Sebbar A.
Heddam S, et al. Among authors: djemili l.
Environ Monit Assess. 2018 Aug 14;190(9):516. doi: 10.1007/s10661-018-6903-0.
Environ Monit Assess. 2018.
PMID: 30109518
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Modelling coagulant dosage in drinking water treatment plant using advance machine learning model: Hybrid extreme learning machine optimized by Bat algorithm.
Boumezbeur H, Laouacheria F, Heddam S, Djemili L.
Boumezbeur H, et al. Among authors: djemili l.
Environ Sci Pollut Res Int. 2023 Jun;30(28):72463-72483. doi: 10.1007/s11356-023-27224-6. Epub 2023 May 12.
Environ Sci Pollut Res Int. 2023.
PMID: 37171728
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New equation for the computation of flow velocity in partially filled pipes arranged in parallel.
Zeghadnia L, Djemili L, Houichi L, Rezgui N.
Zeghadnia L, et al. Among authors: djemili l.
Water Sci Technol. 2014;70(1):160-6. doi: 10.2166/wst.2014.199.
Water Sci Technol. 2014.
PMID: 25026594
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