Lag-Informed Deep Learning Improves River Water-Level Forecasts in Sri Lanka
Researchers have developed a lag-informed deep-learning framework that delivers 10-hour-ahead downstream water-level forecasts in Sri Lanka's flood-prone Kalu Ganga Basin.
Researchers have developed a lag-informed deep-learning framework that delivers 10-hour-ahead downstream water-level forecasts in Sri Lanka's flood-prone Kalu Ganga Basin.
Ivorian researchers have shown that LSTM neural networks fed with NASA satellite data can predict daily rainfall up to seven ...
A seven-year study of monthly rainfall in Ghana's Western Region finds that Facebook Prophet outperforms SARIMA, ETS, TBATS and hybrid ...
A new lightweight deep learning model called BOA-LSTM combines Bayesian optimization and attention mechanisms to deliver faster and more accurate ...
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© 2026 Scienmag - Science Magazine