Breaking the Black Box: Inherently Interpretable Physics-Constrained Machine Learning With Weighted Mixed Effects for Imbalanced Seismic Data

<p dir="ltr">Ground motion models (GMMs) are critical for seismic risk mitigation and infrastructure design. Machine learning (ML) is increasingly applied to GMM development due to expanding strong motion databases. However, existing ML-based GMMs operate as “black boxes," creat...

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1. autor: Vemula Sreenath (11585161) (author)
Kolejni autorzy: Filippo Gatti (14154801) (author), Pierre Jehel (22119840) (author)
Wydane: 2025
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