Deep neural network analyses of water quality time series associated with water sensitive urban design (WSUD) features-Reference-Cited by-同舟云学术

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Deep neural network analyses of water quality time series associated with water sensitive urban design (WSUD) features

Published:2020-10-01 Issue:4 Volume:8 Page:313-332
ISSN:2324-9676
Container-title:Journal of Applied Water Engineering and Research
language:en
Short-container-title:Journal of Applied Water Engineering and Research

Author:

Loc Ho Huu¹²,Do Quang Hung³,Cokro A.A.¹,Irvine Kim N.⁴

Affiliation:

1. National Institute of Education, Nanyang Technological University, Singapore, Singapore

2. Faculty of Food and Environmental Engineering, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam

3. Faculty of Information Technology, University of Transport Technology, Ha Noi, Vietnam

4. Faculty of Architecture and Planning, Thammasat University, Bangkok, Thailand

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/23249676.2020.1831976

Reference51 articles.

1. Toward multi-day-ahead forecasting of suspended sediment concentration using ensemble models

2. Application of Artificial Neural Network to Predict TDS in Talkheh Rud River

3. Runoff water quality from intensive and extensive vegetated roofs

4. ICT and sustainability in smart cities management

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