Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions

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Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions

River sedimentation is an important indicator for ecological and geomorphological assessments of soil erosion within any watershed region. Sediment transport in a river basin is therefore a multifaceted field yet being a dynamic task in nature. It is characterized by high stochasticity, non-linearit...

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Bibliographic Details
Published in:	Engineering Applications of Computational Fluid Mechanics
Main Author:	Tao H.; Al-Khafaji Z.S.; Qi C.; Zounemat-Kermani M.; Kisi O.; Tiyasha T.; Chau K.-W.; Nourani V.; Melesse A.M.; Elhakeem M.; Farooque A.A.; Pouyan Nejadhashemi A.; Khedher K.M.; Alawi O.A.; Deo R.C.; Shahid S.; Singh V.P.; Yaseen Z.M.
Format:	Review
Language:	English
Published:	Taylor and Francis Ltd. 2021
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118563312&doi=10.1080%2f19942060.2021.1984992&partnerID=40&md5=168909c86ea63d08d25f235de420c631

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