Results 121 to 130 of about 272 (140)
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This research presents a novel workflow for generating finite-fault synthetic waveforms from point- source synthetics from a generative diffusion model that lacks fault geometry information. By superim- posing multiple point sources, the method reconstructs waveforms that reproduce key features of observed ground motion, including amplitude, envelope ...
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Machine Learning Based Earthquake Early Warning (EEW) System: A Case Study of Himalayan Region
2022Samik Basu +6 more
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Early Earthquake Warning (EEW) System: Overview
2014Tsuneo Katayama, Shigeki Horiuchi
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Machine Learning Based Earthquake Early Warning (EEW) System: A Case Study of Himalayan Region
Lecture Notes on Data Engineering and Communications Technologies, 2023Soumya Paṇḍit +2 more
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Earthquake Genesis and Earthquake Early Warning Systems: Challenges and a Way Forward
Surveys in Geophysics, 2022Himanshu Mittal +2 more
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Estimation of τc, τmaxc and Pd, Earthquake Early Warning Parameters, for Northwest of Iran
Pure and Applied Geophysics, 2022Habib Rahimi +2 more
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Earthquake early warning: Recent advances and perspectives
Earth-Science Reviews, 2020Carmine Galasso, Gemma Cremen
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