Machine Learning Framework and Spatiotemporal Variation Analysis for Water Quality Classification in the Xiangjiang Basin-Reference-Cited by-同舟云学术

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Machine Learning Framework and Spatiotemporal Variation Analysis for Water Quality Classification in the Xiangjiang Basin

Published:2024-01-19 Issue: Volume:32 Page:1-9
ISSN:
Container-title:Proceedings of the International Conference on Computer Vision and Deep Learning
language:
Short-container-title:

Author:

Yu Ziwen¹^ORCID,Song Lingyu¹^ORCID,Zhou Enling¹^ORCID,Li Hao¹^ORCID,Zhang Jianjun¹^ORCID,Lin Haijun¹^ORCID

Affiliation:

1. College of Engineering and Design Hunan Normal University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3653804.3656276

Reference38 articles.

1. Temporal and spatial distribution of water quality in the middle and lower reaches of the Hanjiang River;Xia Jun;J. Environmental Scientific Research,2019

2. Implementing the Water Framework Directive: a transition from established monitoring networks in England and Wales

3. The improved fuzzy comprehensive evaluation method and its application in raw water quality evaluation of water supply plant;Han Xiaogang;J. Environmental Science & Policy,2013

4. Analysis on the changing trend and influencing factors of Poyang Lake outlet water quality in recent ten years;Huang Xinggui;J. People's Yangtze River,2022

5. J;Horton R K.;Journal of Water Pollution Control Federation,1965

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