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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Main Authors: | Tao, Hai, Al-Khafaji, Zainab S., Qi, Chongchong, Zounemat-Kermani, Mohammad, Kisi, Ozgur, Tiyasha, Tiyasha, Chau, Kwok Wing, Nourani, Vahid, Melesse, Assefa M., Elhakeem, Mohamed, Farooque, Aitazaz Ahsan, Nejadhashemi, A. Pouyan, Khedher, Khaled Mohamed, Alawi, Omer A., Deo, Ravinesh C., Shahid, Shamsuddin, Singh, Vijay P., Yaseen, Zaher Mundher |
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Format: | Article |
Language: | English |
Published: |
Taylor and Francis Ltd.
2021
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/95590/1/ShamsuddinShahid2021_ArtificialIntelligenceModelsforSuspended.pdf http://eprints.utm.my/id/eprint/95590/ http://dx.doi.org/10.1080/19942060.2021.1984992 |
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