Chung-Soo Kim

Sequence Reconstruction for River Water Level Anomaly Correction Using a Simplified Bidirectional LSTM Autoencoder

Accurate water level observations are essential for flood forecasting, hydrological analysis, and water resource management; however, sensor malfunctions and telemetry errors frequently introduce anomalous observations that compromise data quality. This study proposes a reconstruction-oriented Bidirectional Long Short-...