Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model

Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models

Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms

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

Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran

Assessing the potential origins and human health risks of trace elements in groundwater: A case study in the Khoy plain, Iran