Zobrazeno 1 - 10
of 853
pro vyhledávání: '"Jozinović, A."'
Autor:
Mizrahi, Leila, Jozinović, Dario
Aftershocks of aftershocks - and their aftershock cascades - substantially contribute to the increased seismicity rate and the associated elevated seismic hazard after the occurrence of a large earthquake. Current state-of-the-art earthquake forecast
Externí odkaz:
http://arxiv.org/abs/2401.06075
Autor:
M. Böse, L. Danciu, A. Papadopoulos, J. Clinton, C. Cauzzi, I. Dallo, L. Mizrahi, T. Diehl, P. Bergamo, Y. Reuland, A. Fichtner, P. Roth, F. Haslinger, F. Massin, N. Valenzuela, N. Blagojević, L. Bodenmann, E. Chatzi, D. Fäh, F. Glueer, M. Han, L. Heiniger, P. Janusz, D. Jozinović, P. Kästli, F. Lanza, T. Lee, P. Martakis, M. Marti, M.-A. Meier, B. Mena Cabrera, M. Mesimeri, A. Obermann, P. Sanchez-Pastor, L. Scarabello, N. Schmid, A. Shynkarenko, B. Stojadinović, D. Giardini, S. Wiemer
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 24, Pp 583-607 (2024)
Scientists from different disciplines at ETH Zurich are developing a dynamic, harmonised, and user-centred earthquake risk framework for Switzerland, relying on a continuously evolving earthquake catalogue generated by the Swiss Seismological Service
Externí odkaz:
https://doaj.org/article/c6c65e68ad6243e0803eeb1cdcb86dde
Autor:
Mirela Lučan Čolić, Martina Antunović, Jasmina Lukinac, Jurislav Babić, Antun Jozinović, Bojan Matijević, Tihana Nikolić, Marko Jukić
Publikováno v:
Mljekarstvo, Vol 74, Iss 1, Pp 45-63 (2024)
The effect of turmeric powder and a mix of turmeric powder and black pepper on the physicochemical properties of ice cream samples was examined. Enriched ice creams were manufactured by adding turmeric powder at levels of 0.5 %, 1.0 % and 2.0 %, with
Externí odkaz:
https://doaj.org/article/a4cee41cae5b4e0ba5211cd04dbf099b
Autor:
Otović, Erik, Njirjak, Marko, Jozinović, Dario, Mauša, Goran, Michelini, Alberto, Štajduhar, Ivan
Publikováno v:
Knowledge-Based Systems, Volume 239, 5 March 2022, 107976
In practice, it is very demanding and sometimes impossible to collect datasets of tagged data large enough to successfully train a machine learning model, and one possible solution to this problem is transfer learning. This study aims to assess how t
Externí odkaz:
http://arxiv.org/abs/2201.04449
Autor:
Bloemheuvel, Stefan, Hoogen, Jurgen van den, Jozinović, Dario, Michelini, Alberto, Atzmueller, Martin
Machine learning, with its advances in deep learning has shown great potential in analyzing time series. In many scenarios, however, additional information that can potentially improve the predictions is available. This is crucial for data that arise
Externí odkaz:
http://arxiv.org/abs/2201.00818
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10303 (2024)
Hazelnut oil cake, a by-product in the cold-pressing of hazelnut oil, is a rich in valuable nutrients, which makes it a promising option for supplementation or as a raw material in the development of functional products. The aim of this work was to s
Externí odkaz:
https://doaj.org/article/6be715ff1f3a49cb86b666f5278593be
Autor:
Woollam, Jack, Münchmeyer, Jannes, Tilmann, Frederik, Rietbrock, Andreas, Lange, Dietrich, Bornstein, Thomas, Diehl, Tobias, Giunchi, Carlo, Haslinger, Florian, Jozinović, Dario, Michelini, Alberto, Saul, Joachim, Soto, Hugo
Machine Learning (ML) methods have seen widespread adoption in seismology in recent years. The ability of these techniques to efficiently infer the statistical properties of large datasets often provides significant improvements over traditional tech
Externí odkaz:
http://arxiv.org/abs/2111.00786
Autor:
Münchmeyer, Jannes, Woollam, Jack, Rietbrock, Andreas, Tilmann, Frederik, Lange, Dietrich, Bornstein, Thomas, Diehl, Tobias, Giunchi, Carlo, Haslinger, Florian, Jozinović, Dario, Michelini, Alberto, Saul, Joachim, Soto, Hugo
Seismic event detection and phase picking are the base of many seismological workflows. In recent years, several publications demonstrated that deep learning approaches significantly outperform classical approaches and even achieve human-like perform
Externí odkaz:
http://arxiv.org/abs/2110.13671
Autor:
Anthony Lomax, Matteo Bagagli, Sonja Gaviano, Spina Cianetti, Dario Jozinović, Alberto Michelini, Christopher Zerafa, Carlo Giunchi
Publikováno v:
Seismica, Vol 3, Iss 1 (2024)
Automated seismic arrival picking on large and real-time seismological waveform datasets is fundamental for monitoring and research. Recent, high-performance arrival pickers apply deep-neural-networks to nearly raw seismogram inputs. However, there i
Externí odkaz:
https://doaj.org/article/0548d4d5baa14cc08d6d2f59b5cecff4
Publikováno v:
Seismica, Vol 3, Iss 1 (2024)
It is increasingly common for seismic networks to operate multiple independent automatic algorithms to characterise earthquakes in real-time, such as in earthquake early warning (EEW) or even standard network practice. Commonly used methods to select
Externí odkaz:
https://doaj.org/article/f2c821ed010a42b29078bcd1cb5139e0