Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters - Fijani, Elham; Barzegar, Rahim; Deo, Ravinesh; Tziritis, Evangelos; Skordas, Konstantinos (The Science of the total environment, 2019)
Keywords: aquaculture; autocorrelation; chlorophyll; Complementary ensemble empirical mode decomposition with adaptive noise; data collection; dissolved oxygen; Environmental monitoring; Extreme machine learning; human health; lakes; prediction; Small Prespa Lake; support vector machines; Variational mode decomposition; water quality; Water quality modelling; Variational mode decomposition; Complementary ensemble empirical mode decomposition with adaptive noise; Environmental monitoring; Small Prespa Lake; Water quality modelling; Extreme machine learning