DEEP LEARNING-BASED SCENE CLASSIFICATION OF VERY HIGH-RESOLUTION SATELLITE IMAGERY FOR POST-EARTHQUAKE DAMAGE ASSESSMENT: A CASE STUDY OF THE 2023 KAHRAMANMARAŞ EARTHQUAKES

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1. A HYBRID LEARNING FRAMEWORK FOR POST-DISASTER DAMAGE ASSESSMENT AND SHELTER DECISION-MAKING: INCORPORATING 3D-PRINTED MODULAR ARCHITECTURE IN THE KAHRAMANMARAŞ, TÜRKİYE CONTEXT T. Erdil Dinçel https://doi.org/10.46519/ij3dptdi.1711752
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5. SeisRank-Ord: Governance-aware ordinal learning for seismic damage recognition and policy simulation A. Zhang et al. https://doi.org/10.25259/JKSUS_1757_2025
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