Francesco Castaldo

Non-Autoregressive Machine Learning for Spring Discharge Forecasting: A Bias-Corrected CNN–LSTM Approach

This study develops and evaluates a suite of non-autoregressive machine learning architectures, MLP, CNN, LSTM, and a hybrid CNN–LSTM, for predicting the monthly discharge of major springs supplying Palermo, Italy, offering water authorities an effective solution for proactive and sustainable management of this crucial...