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pro vyhledávání: '"Cartaya, Claudia Quinteros"'
Autor:
Li, Wei, Chakraborty, Megha, Cartaya, Claudia Quinteros, koehler, Jonas, Faber, Johannes, Ruempker, Georg, Srivastava, Nishtha
Seismology has witnessed significant advancements in recent years with the application of deep learning methods to address a broad range of problems. These techniques have demonstrated their remarkable ability to effectively extract statistical prope
Externí odkaz:
http://arxiv.org/abs/2308.11428
High rate Global Navigation Satellite System (HR GNSS) data can be highly useful for earthquake analysis as it provides continuous high-rate measurements of ground motion. This data can be used to estimate the magnitude, to assess the potential of an
Externí odkaz:
http://arxiv.org/abs/2304.09912
Autor:
Li, Wei, Chakraborty, Megha, Cartaya, Claudia Quinteros, Köhler, Jonas, Faber, Johannes, Meier, Men-Andrin, Rümpker, Georg, Srivastava, Nishtha
Publikováno v:
In Computers and Geosciences October 2024 192
PolarCAP – A deep learning approach for first motion polarity classification of earthquake waveforms
Autor:
Chakraborty, Megha, Cartaya, Claudia Quinteros, Li, Wei, Faber, Johannes, Rümpker, Georg, Stoecker, Horst, Srivastava, Nishtha
Publikováno v:
In Artificial Intelligence in Geosciences December 2022 3:46-52