Results 141 to 150 of about 76,495 (193)

Rapid wavefield forecasting for earthquake early warning via deep sequence to sequence learning. [PDF]

Nat Commun
Lyu D, Nakata R, Ren P, Mahoney MW, Pitarka A, Nakata N, Erichson NB.   +6 more
europepmc   +1 more source

Interplay between ground deformation and seismicity during the 2005-2025 unrest at Campi Flegrei. [PDF]

Sci Rep
Godano C, Convertito V, Tramelli A, Petrillo G.   +3 more
europepmc   +1 more source

The psychological impact of major disasters on Japan's medical system: An SNS text analysis. [PDF]

PLoS One
Kitayama T, Nishimura K.
europepmc   +1 more source

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Earthquake Detection with tinyML

Seismological Research Letters, 2023
Abstract Earthquake detection is the critical first step in earthquake early warning (EEW) systems. For robust EEW systems, detection accuracy, detection latency, and sensor density are critical to providing real-time earthquake alerts.
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Transforming Earthquake Detection?

Science, 2012
Citizen science projects have the potential to transform earthquake science if data quality standards are maintained.
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Earthquakes detection with optical fibers

2019 Joint Conference of the IEEE International Frequency Control Symposium and European Frequency and Time Forum (EFTF/IFC), 2019
The existing optical fiber network for telecommunication, together with coherent laser interferometry techniques such as narrow-linewidth lasers and heterodyne detection, is proposed as a tool for the detection of earthquakes. Using this infrastructure, we were able to detect several earthquakes, with moment magnitude as small as 3.4 and distances to ...
Cecilia Clivati, Brian Baptie, Andre Xuereb, Alberto Mura, Filippo Levi, Davide Calonico, Giuseppe Marra, Jochen Kronjager, Louise Wright, Stephen Robinson, Richard Luckett   +10 more
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Probability of Detecting an Earthquake

Bulletin of the Seismological Society of America, 2008
We present a new method for estimating earthquake detection proba- bilities that avoids assumptions about earthquake occurrence, for example, the event-size distribution, and uses only empirical data: phase data, station infor- mation, and network-specific attenuation relations.
D. Schorlemmer, J. Woessner
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Wavelet Analysis on Detecting Pulse-Like Earthquakes

AIP Conference Proceedings, 2008
A quantitative approach for identifying pulse‐like ground motions is proposed herein. It is based on the use of the wavelet transform which has the peculiarity to detect sudden jumps in time histories by separating the contributions of different levels of frequency. Moreover, it has the advantage of low computational cost. Three different wavelet‐based
Anna Bosi, Fabrizio Mollaioli, Paolo Maria Mariano, Adolfo Santini, Nicola Moraci   +4 more
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Earthquake Fingerprints: Extracting Waveform Features for Similarity-Based Earthquake Detection

Pure and Applied Geophysics, 2018
Seismologists are increasingly adopting data mining and machine learning techniques to detect weak earthquake signals in large seismic data sets. The detection performance of these new methods, especially their sensitivity and false detection rate, depends on the choice of feature representation for waveform data.
Karianne J. Bergen, Gregory C. Beroza
openaire   +1 more source