- Title
- Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions
- Creators - without role
- Hai Tao - Universiti Teknologi MARAZainab S. Al-Khafaji - Al-Furat Al-Awsat Technical UniversityChongchong Qi - School of Resources and Safety Engineering, Central South University, Changsha, ChinaMohammad Zounemat-Kermani - Shahid Bahonar University of KermanOzgur Kisi - Ilia State UniversityTiyasha Tiyasha - Ton Duc Thang UniversityKwok-Wing Chau - Hong Kong Polytechnic UniversityVahid Nourani - University of TabrizAssefa M. Melesse - Florida International UniversityMohamed Elhakeem - Abu Dhabi UniversityAitazaz Ahsan Farooque - University of Prince Edward IslandA. Pouyan Nejadhashemi - Michigan State UniversityKhaled Mohamed Khedher - King Khalid UniversityOmer A. Alawi - University of Technology MalaysiaRavinesh C. Deo - University of Southern QueenslandShamsuddin Shahid - University of Technology MalaysiaVijay P. Singh - Texas A&M UniversityZaher Mundher Yaseen - Thi Qar University
- Publication Details
- Engineering applications of computational fluid mechanics, Vol.15(1), pp.1585-1612
- Identifiers
- 9923436408331
- Academic Unit
- King Khalid University
- Language
- English
- Resource Type
- Journal article
Journal article
Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions
Engineering applications of computational fluid mechanics, Vol.15(1), pp.1585-1612
01/01/2021
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