A novel machine learning-based framework for the water quality parameters prediction using hybrid long short-term memory and locally weighted scatterplot smoothing methods - Dodig, Ana; Ricci, Elisa; Kvascev, Goran; Stojkovic, Milan (Journal of hydroinformatics, 2024)
Keywords: Basins; Biodiversity; Chemical oxygen demand; Creeks & streams; Data smoothing; Deep learning; Dissolved oxygen; Freshwater resources; Hydrology; Learning algorithms; Long short-term memory; long short-term memory (lstm); Machine learning; Networks; Neural networks; Oxygen; Oxygen requirement; Parameters; Pollution; prediction; Predictions; River networks; Rivers; Root-mean-square errors; Smoothing; Time series; Water quality; Water temperature; Wavelet transforms; Workflow; Sava River