Long Short-Term Memory models of water quality in inland water environments

Published in Water Research X, 2023

Recommended citation: Kim, C. M., Jaffari, Z. H., Abbas, A., Chowdhury, M. F., & Cho, K. H. (2023). Machine learning analysis to interpret the effect of the photocatalytic reaction rate constant (k) of semiconductor-based photocatalysts on dye removal. Journal of Hazardous Materials, 132995. https://doi.org/10.1016/j.jhazmat.2023.132995

This paper reviews application of Long Short Term Memory (LSTM) networks for water quality prediction.

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