Pollution loads in the middle-lower Yangtze river by coupling water quality models with machine learning-Reference-Cited by-同舟云学术

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Pollution loads in the middle-lower Yangtze river by coupling water quality models with machine learning

Published:2024-10 Issue: Volume:263 Page:122191
ISSN:0043-1354
Container-title:Water Research
language:en
Short-container-title:Water Research

Author:

Huang Sheng^ORCID,Xia Jun,Wang Yueling,Wang Gangsheng^ORCID,She Dunxian,Lei Jiarui^ORCID

Funder

China Scholarship Council

Chinese Academy of Sciences

National Natural Science Foundation of China

National University of Singapore - Kent Ridge Campus

Publisher

Elsevier BV

Reference66 articles.

1. Contribution rates analysis for sources apportionment to special river sections in Yangtze River Basin;Bai;J. Hydrol.,2021

2. Explainable artificial intelligence (XAI): concepts, taxonomies, opportunities and challenges toward responsible AI;Barredo Arrieta;Inf. Fusion,2020

3. ABCDM: an attention-based bidirectional CNN-RNN deep model for sentiment analysis;Basiri;Future Gener. Comput. Syst.,2021

4. Water Quality Modelling for Rivers and Streams;Benedini,2013

5. Applicability of water quality models around the world—a review;Burigato Costa;Environ. Sci. Pollut. Res.,2019

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