A Rainfall-Only Hybrid LSTM-Random Forest Framework for Data-Driven Urban Flood-Risk Decision Support in Jakarta under Severe Class Imbalance
Purpose – Urban flood-risk screening in Jakarta requires prediction approaches that remain useful when complete hydrological and infrastructural flood data are not consistently available. This study evaluates a rainfall-based decision-support framework for next-day flood-risk detection using Long Short-Term Memory (LST...