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

Tao, Hai, Al-Khafaji, Zainab S, Qi, Chongchong et al. (2021). Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions . 15(1), 1585-1612. 10.1080/19942060.2021.1984992

Open Access International Collaboration

cited 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; Pouyan Nejadhashemi, A; Khedher, Khaled Mohamed; Alawi, Omer A; Deo, Ravinesh C; Shahid, Shamsuddin; Singh, Vijay P; Yaseen, Zaher Mundher

sustainable development goals

authors

publication date

  • January 1, 2021

keywords

  • Advanced computer aid
  • COMPUTING METHODS
  • DATA-DRIVEN MODELS
  • Engineering
  • Engineering, Mechanical
  • Engineering, Multidisciplinary
  • INPUT SELECTION
  • LOAD PREDICTION
  • LOESS PLATEAU
  • MATHEMATICAL-MODEL
  • Mechanics
  • NEURAL-NETWORK ANN
  • SOIL-EROSION
  • SUPPORT VECTOR MACHINE
  • Science & Technology
  • Technology
  • WAVELET TRANSFORM
  • artificial intelligence models
  • literature review
  • sediment transport modeling

Digital Object Identifier (DOI)

publisher

  • TAYLOR & FRANCIS LTD

start page

  • 1585

end page

  • 1612

volume

  • 15

issue

  • 1