Towards Predictive Water Quality: Synergies Between Machine Learning and Internet of Things
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-66850-0_17
Reference21 articles.
1. Nasir, N., et al.: Water quality classification using machine learning algorithms. J. Water Process Eng. 48, 102920 (2022). https://doi.org/10.1016/j.jwpe.2022.102920
2. Sun, A.Y., Scanlon, B.R.: How can big data and machine learning benefit environment and water management: a survey of methods, applications, and future directions. Environ. Res. Lett. 14(7), 073001 (2019). https://doi.org/10.1088/1748-9326/ab1b7d
3. Khanna, A., Kaur, S.: Evolution of Internet of Things (IoT) and its significant impact in the field of precision agriculture. Comput. Electron. Agric. 157, 218−231 (2019). https://doi.org/10.1016/j.compag.2018.12.039
4. Aldhaheri, A., Alwahedi, F., Ferrag, M.A., Battah, A.: Deep learning for cyber threat detection in IoT networks: a review. Internet Things Cyber-Phys. Syst. 4, 110−128 (2024). https://doi.org/10.1016/j.iotcps.2023.09.003
5. Adeleke, I.A., Nwulu, N.I., Ogbolumani, O.A.: A hybrid machine learning and embedded IoT-based water quality monitoring system. Internet Things 22, 100774 (2023). https://doi.org/10.1016/j.iot.2023.100774
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