Nature

Forecasting urban water demand using different hybrid-based metaheuristic algorithms’ inspire for extracting artificial neural network hyperparameters

This research offers a novel methodology for quantifying water needs by assessing weather variables, applying a combination of data preprocessing approaches, and an artificial neural network (ANN) ...
Nature

Forecasting the daily evaporation by coupling the ensemble deep learning models with meta-heuristic algorithms and data pre-processing in dryland

As the ML models have the advantages of high precision, low cost, short time, no need for any assumptions, ML models were widely employed to estimate evaporation or ET with incomplete meteorological ...