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pro vyhledávání: '"Lomax, Anthony"'
Autor:
Lomax, Anthony
Most earthquake energy release arises during fault slip many kilometers below the Earth's surface. Understanding earthquakes and their hazard requires mapping the geometry and distribution of this slip. Such finite-fault maps are typically derived fr
Externí odkaz:
http://arxiv.org/abs/2404.05437
In a recent study (Jozinovi\'c et al, 2020) we showed that convolutional neural networks (CNNs) applied to network seismic traces can be used for rapid prediction of earthquake peak ground motion intensity measures (IMs) at distant stations using onl
Externí odkaz:
http://arxiv.org/abs/2105.05075
Publikováno v:
Geophysical Journal International, 222(2), 1379-1389 (2020)
This study describes a deep convolutional neural network (CNN) based technique for the prediction of intensity measurements (IMs) of ground shaking. The input data to the CNN model consists of multistation 3C broadband and accelerometric waveforms re
Externí odkaz:
http://arxiv.org/abs/2002.06893
Akademický článek
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Autor:
Smolders, Andreas, Hengeveld, Adriaan C., Both, Stefan, Wijsman, Robin, Langendijk, Johannes A., Weber, Damien C., Lomax, Anthony J., Albertini, Francesca, Guterres Marmitt, Gabriel
Publikováno v:
In Radiotherapy and Oncology May 2023 182
Autor:
Scotto di Uccio, Francesco, Lomax, Anthony, Natale, Jacopo, Muzellec, Titouan, Festa, Gaetano, Nazeri, Sahar, Convertito, Vincenzo, Bobbio, Antonella, Strumia, Claudio, Zollo, Aldo
Publikováno v:
Geophysical Research Letters; 6/28/2024, Vol. 51 Issue 12, p1-12, 12p
Autor:
Pelak, Maciej J., Walser, Marc, Bachtiary, Barbara, Hrbacek, Jan, Lomax, Anthony J., Kliebsch, Ulrike L., Beer, Jürgen, Pica, Alessia, Malyapa, Robert, Weber, Damien C.
Publikováno v:
In Oral Oncology August 2020 107
Publikováno v:
In Tectonophysics 16 October 2018 745:245-263
Autor:
Stieb, Sonja, Snider, James W., III, Placidi, Lorenzo, Kliebsch, Ulrike, Lomax, Anthony J., Schneider, Ralf A., Weber, Damien C.
Publikováno v:
In International Journal of Radiation Oncology, Biology, Physics 1 January 2018 100(1):218-225
Autor:
Lomax, Anthony, Gaviano, Sonja, Bagagli, Matteo, Cianetti, Spina, Carlo, Giunchi, Jozinović, Dario, Lauciani, Valentino, Michelini, Alberto, Zerafa, Christopher
Publikováno v:
XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Automated procedures for seismic arrival-time picking on large and real-time seismological waveform datasets are critical for many seismological tasks. Recent, high-performance, automated arrival-time pickers mainly use deep-neural-networks applied t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7750f4feeb856f6cf7454b2811d4080
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021785
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021785