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...
الحاوية / القاعدة: | Engineering Applications of Computational Fluid Mechanics |
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المؤلف الرئيسي: | 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. |
التنسيق: | Review |
اللغة: | English |
منشور في: |
Taylor and Francis Ltd.
2021
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الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118563312&doi=10.1080%2f19942060.2021.1984992&partnerID=40&md5=168909c86ea63d08d25f235de420c631 |
مواد مشابهة
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Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions
بواسطة: 2-s2.0-85118563312
منشور في: (2021) -
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