Influence of bed deposit in the prediction of incipient sediment motion in sewers using artificial neural networks-Reference-Cited by-同舟云学术

Influence of bed deposit in the prediction of incipient sediment motion in sewers using artificial neural networks

Published:2018-04-18 Issue:4 Volume:15 Page:296-302
ISSN:1573-062X
Container-title:Urban Water Journal
language:en
Short-container-title:Urban Water Journal

Author:

Wan Mohtar Wan Hanna Melini¹^ORCID,Afan Haitham¹^ORCID,El-Shafie Ahmed²^ORCID,Bong Charles Hin Joo³^ORCID,Ab. Ghani Aminuddin⁴

Affiliation:

1. Department of Civil & Structural Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia , Bandar Baru Bangi, Malaysia.

2. Department of Civil Engineering, Faculty of Engineering, Universiti Malaysia , Kuala Lumpur, Malaysia.

3. Department of Civil Engineering, Faculty of Engineering, Universiti Malaysia Sarawak , Kota Samarahan, Malaysia.

4. River Engineering and Urban Drainage Research Centre (REDAC), Universiti Sains Malaysia , Nibong Tebal, Malaysia.

Funder

Kementerian Sains, Teknologi dan Inovasi

Universiti Kebangsaan Malaysia

Universiti Malaysia Sarawak

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/1573062X.2018.1455880

Reference33 articles.

1. Past, present and prospect of an Artificial Intelligence (AI) based model for sediment transport prediction

2. ANN Based Sediment Prediction Model Utilizing Different Input Scenarios

3. Nature and Dynamics of Water Sediment Interface in Combined Sewers

4. The Erosion and Movement of Sediments and Associated Pollutants in Combined Sewers

5. The erosion behaviour of biologically active sewer sediment deposits: Observations from a laboratory study

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