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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
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
Format: Article
Language:English
Published: Taylor and Francis Ltd. 2021
Subjects:
TA Engineering (General). Civil engineering (General)
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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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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