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Enhancing Urban Flood Forecasting in Drainage Systems Using Dynamic Ensemble-based Data Mining
(2023-12-01)
This study presents a novel approach for urban flood forecasting in drainage systems using a dynamic ensemble-based data mining model which has yet to be utilised properly in this context. The proposed method incorporates ...
Real-time flood overflow forecasting in Urban Drainage Systems by using time-series multi-stacking of data mining techniques
(2023-04-28)
Overflow forecasting in early warning systems is acknowledged as an essential task for devastating urban flood risk management. Although many machine learning models have been developed recently to forecast water levels ...