APA (7th ed.) Citation

Dodig, A., Ricci, E., Kvascev, G., & Stojkovic, M. (2024). A novel machine learning-based framework for the water quality parameters prediction using hybrid long short-term memory and locally weighted scatterplot smoothing methods. Journal of hydroinformatics, 26(5), 1059-1079. https://doi.org/10.2166/hydro.2024.273

Chicago Style (17th ed.) Citation

Dodig, Ana, Elisa Ricci, Goran Kvascev, and Milan Stojkovic. "A Novel Machine Learning-based Framework for the Water Quality Parameters Prediction Using Hybrid Long Short-term Memory and Locally Weighted Scatterplot Smoothing Methods." Journal of Hydroinformatics 26, no. 5 (2024): 1059-1079. https://doi.org/10.2166/hydro.2024.273.

MLA (9th ed.) Citation

Dodig, Ana, et al. "A Novel Machine Learning-based Framework for the Water Quality Parameters Prediction Using Hybrid Long Short-term Memory and Locally Weighted Scatterplot Smoothing Methods." Journal of Hydroinformatics, vol. 26, no. 5, 2024, pp. 1059-1079, https://doi.org/10.2166/hydro.2024.273.