Water Quality Monitoring and Evaluation Using Internet of Things and Machine Learning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6550-2_27
Reference13 articles.
1. Aslam B, Maqsoom A, Cheema AH, Ullah F, Alharbi A, Imran M (2022) Water quality management using hybrid machine learning and data mining algorithms: an indexing approach. Open Access IEEE 10
2. Kenchannavar HH, Pujar PM, Kulkarni RM, Kulkarni UP (2022) Evaluation and analysis of goodness of fit for water quality parameters using linear regression through the Internet-of-Things-based water quality monitoring system. IEEE Internet of Things J 9(16):14400–14407. https://doi.org/10.1109/JIOT.2021.3094724
3. Ajayi OO, Bagula AB, Maluleke HC, Gaffoor Z, Jovanovic N, Pietersen KC (2022) Water net: a network for monitoring and assessing water quality for drinking and irrigation purposes. Open Access IEEE 10
4. Lin Z, Yin H, Jiang S, Wang W, Jiao G, Yu J (2017) Design of monitoring system for rural drinking water source based on WSN. In: 2017 international conference on computer network, electronic and automation. IEEE. https://doi.org/10.1109/ICCNEA.2017.106
5. Jalal D, Ezzedine T (2020) Decision tree and support vector machine for anomaly detection in water distribution networks. IEEE. 978-1-7281-3129-0/20/2020
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