Intelligent Multi-level Analytics Approach to Predict Water Quality Index

Author:

Al-Janabi SamaherORCID,Al-Barmani Zahraa

Publisher

Springer Nature Switzerland

Reference17 articles.

1. Hudson, Z.: The applicability of advanced treatment processes in the management of deteriorating water quality in the Mid-Vaal river system. Environmental Sciences at the Potchefstroom Campus of the North-West University or Natural and Agricultural Sciences [1709] (2015). http://hdl.handle.net/10394/16075

2. Ahmed, U., Mumtaz, R., Anwar, H., Shah, A.A., Irfan, R., García-Nieto, J.: Efficient Water Quality Prediction Using Supervised Machine Learning, vol. 11, p. 2210 (2019). https://doi.org/10.3390/w11112210

3. Aghalari, Z., Dahms, H.U., Sillanpää, M., et al.: Effectiveness of wastewater treatment systems in removing microbial agents: a systematic review. Global Health 16, 13 (2020). https://doi.org/10.1186/s12992-020-0546-y

4. Singh, P., Kaur, P.D.: Review on data mining techniques for prediction of water quality. Int. J. Adv. Res. Comput. Sci. 8(5), 396–401 (2017)

5. Qiu, Y., Li, J., Huang, X., Shi, H.: A feasible data-driven mining system to optimize wastewater treatment process design and operation. 10, 1342 (2018). https://doi.org/10.3390/w10101342

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