Flood Mitigation

Deep Learning Models for Water Stage Predictions in South Florida

Physics-based hydraulic models like HEC‑RAS, MIKE, and SWMM can accurately simulate river stages but are computationally costly for large watersheds and long runs because they …

Jimeng Shi

• Jul 18, 2025 • 1 min read

Time Series Prediction

Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting

We address limitations in time-series forecasting when external covariates and predicted future covariates are available by introducing a "shifting" feature representation that …

Jimeng Shi

• Dec 20, 2023 • 1 min read

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Flood Mitigation

Deep Learning Models for Water Stage Predictions in South Florida

Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting