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Rocelle Andrea S. Belandres

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Open access 2026

Semantically-Guided Hydro-Synthesis for Mitigating Severe Inundation Visual Paucity in Vision-Based Urban Flood Monitoring Using Latent Diffusion Models

Results indicate that site-specific, semantically-guided generative augmentation provides a measurable and statistically significant improvement over both raw-data and algorithmic class-imbalance baselines, addressing hydrological data scarcity for vision-based disaster response systems.

Rocelle Andrea S. Belandres, Miguel Antonio M. Sumulong, John Anthony C. Jose · 0 citations

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