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Geocarto International Volume 37, 2022 - Issue 21
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Original Articles

Advanced machine learning models development for suspended sediment prediction: comparative analysis study

Mohammed Achitea Faculty of Nature and Life Sciences, Laboratory of Water & Environment, University Hassiba Benbouali of Chlef, Chlef, AlgeriaORCID Iconhttps://orcid.org/0000-0001-6084-5759
ORCID Icon,
Zaher Mundher Yaseenb New Era and Development in Civil Engineering Research Group, Scientific Research Center, Al-Ayen University, Thi-Qar, IraqCorrespondence[email protected]
,
Salim Heddamc Faculty of Science, Agronomy Department, Hydraulics Division University, Route El Hadaik, Skikda, AlgeriaORCID Iconhttps://orcid.org/0000-0002-8055-8463
ORCID Icon,
Anurag Malikd Punjab Agricultural University, Regional Research Station, Bathinda, Punjab, IndiaORCID Iconhttps://orcid.org/0000-0002-0298-5777
ORCID Icon &
Ozgur Kisie Civil Engineering Department, School of Technology, Ilia State University, Tbilisi, GeorgiaORCID Iconhttps://orcid.org/0000-0001-7847-5872
ORCID Icon
Pages 6116-6140 | Received 09 Feb 2021, Accepted 17 May 2021, Published online: 14 Jun 2021

Citations (5)

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Read on this site (1)

Abdullah Al Mamun, Abu Reza Md. Towfiqul Islam, Khabat Khosravi & Shailesh K. Singh. (2022) Suspended sediment load prediction using hybrid bagging-based heuristic search algorithm. Geocarto International 37:27, pages 17068-17095.
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Articles from other publishers (4)

Majid Niazkar & Mohammad Zakwan. (2023) Developing ensemble models for estimating sediment loads for different times scales. Environment, Development and Sustainability.
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Mir Jafar Sadegh Safari, Sarita Gajbhiye Meshram, Khabat Khosravi & Adel Moatamed. (2022) Suspended Sediment Modeling Using Sequential Minimal Optimization Regression and Isotonic Regression Algorithms Integrated with an Iterative Classifier Optimizer. Pure and Applied Geophysics 179:10, pages 3751-3765.
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Ashish Kumar & Vinod Kumar Tripathi. (2022) Capability assessment of conventional and data-driven models for prediction of suspended sediment load. Environmental Science and Pollution Research 29:33, pages 50040-50058.
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Balraj Singh, Isa Ebtehaj, Parveen Sihag & Hossein Bonakdari. (2022) An expert system for predicting the infiltration characteristics. Water Supply 22:3, pages 2847-2862.
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