Intelligent water quality monitoring using WSN and Machine Learning Approaches-Reference-Cited by-同舟云学术

Intelligent water quality monitoring using WSN and Machine Learning Approaches

Published:2023-05-10 Issue: Volume: Page:
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Container-title:2023 the 7th International Conference on Information System and Data Mining (ICISDM)
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Author:

Belachew Ermiyas Birihanu¹^ORCID,Bekele Mebiratu Beyene²^ORCID,Birawo Birtukan Adamu³^ORCID

Affiliation:

1. Data Science and Engineering Department, Eotvos Lorand University, Hungary and Department of Software Engineering, Wolkite University, Ethiopia

2. ICT 4D Research Centre, Bahir Dar University, Ethiopia

3. Applied Informatics, Silesian University of Technology, Poland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3603765.3603766

Reference20 articles.

1. Wireless sensor networks: A survey on monitoring water quality

2. World Health Organization , Developing drinking-water quality regulations and standards: general guidance with a special focus on countries with limited resources . World Health Organization , 2018 . Accessed : Nov. 27, 2022. [Online]. Available: https://apps.who.int/iris/handle/10665/272969 World Health Organization, Developing drinking-water quality regulations and standards: general guidance with a special focus on countries with limited resources. World Health Organization, 2018. Accessed: Nov. 27, 2022. [Online]. Available: https://apps.who.int/iris/handle/10665/272969

3. Design of a Water Environment Monitoring System Based on Wireless Sensor Networks

4. “ Water hyacinth-can its aggressive invasion be controlled? ” UNEP Sioux Falls. https://na.unep.net/geas/getUNEPPageWithArticleIDScript.php?article_id=98 (accessed Nov. 27, 2022 ). “Water hyacinth-can its aggressive invasion be controlled?” UNEP Sioux Falls. https://na.unep.net/geas/getUNEPPageWithArticleIDScript.php?article_id=98 (accessed Nov. 27, 2022).

5. A Novel Water Quality Monitoring System Based on Solar Power Supply & Wireless Sensor Network