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@@ -79,7 +79,7 @@ The workflow for this project is as follows:
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- The results are compared with HPC based results for a full ptha eventset, subset considering events that cause local deformation and events that dont cause any local deformation.
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- These results are used to benchmark the emulation hazard with different training sizes against HPC and Stratified Importance Sampling based results.
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<img src="/resources/plots/PTHAHazardMap_ComparisonCT.png" alt="PTHA Inundation Maps(HPC vs ML)" height="800">
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<img src="/resources/plots/HazMaps.png" alt="PTHA Inundation Maps(HPC vs ML)" height="800">
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## Useful References and Projects
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- Ragu Ramalingam 2025 - [Advancing nearshore and onshore tsunami hazard approximation with machine learning surrogates](https://doi.org/10.5194/nhess-25-1655-2025)

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