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Recent advances in earthquake seismology using machine learning
Given the recent developments in machine-learning technology, its application has rapidly
progressed in various fields of earthquake seismology, achieving great success. Here, we …
progressed in various fields of earthquake seismology, achieving great success. Here, we …
The magmatic web beneath Hawai 'i
The deep magmatic architecture of the Hawaiian volcanic system is central to understanding
the transport of magma from the upper mantle to the individual volcanoes. We leverage …
the transport of magma from the upper mantle to the individual volcanoes. We leverage …
Seismic arrival-time picking on distributed acoustic sensing data using semi-supervised learning
Abstract Distributed Acoustic Sensing (DAS) is an emerging technology for earthquake
monitoring and subsurface imaging. However, its distinct characteristics, such as unknown …
monitoring and subsurface imaging. However, its distinct characteristics, such as unknown …
Seismicity and magmatic system of the Changbaishan intraplate volcano in East Asia
A high‐precision earthquake catalog is made from continuous waveform data recorded at
360 portable seismographs deployed for one month in the Changbaishan‐Tianchi volcanic …
360 portable seismographs deployed for one month in the Changbaishan‐Tianchi volcanic …
[HTML][HTML] Synthetic ground motions in heterogeneous geologies from various sources: the HEMEW-3D database
The ever-improving performances of physics-based simulations and the rapid developments
of deep learning are offering new perspectives to study earthquake-induced ground motion …
of deep learning are offering new perspectives to study earthquake-induced ground motion …
A detailed view of the 2020–2023 southwestern Puerto Rico seismic sequence with deep learning
CE Yoon, ES Cochran… - Bulletin of the …, 2023 - pubs.geoscienceworld.org
ABSTRACT The 2020–2023 southwestern Puerto Rico seismic sequence, still ongoing in
2023, is remarkable for its multiple‐fault rupture complexity and elevated aftershock …
2023, is remarkable for its multiple‐fault rupture complexity and elevated aftershock …
Fine Seismogenic Fault Structures and Complex Rupture Characteristics of the 2022 M6.8 Luding, Sichuan Earthquake Sequence Revealed by Deep Learning and …
An approximate 236‐year interval in major seismic activity near the southern **anshuihe
fault terminated on 5 September 2022 until a destructive M6. 8 Luding earthquake. The …
fault terminated on 5 September 2022 until a destructive M6. 8 Luding earthquake. The …
On the use of high‐resolution and deep‐learning seismic catalogs for short‐term earthquake forecasts: Potential benefits and current limitations
Enhanced earthquake catalogs provide detailed images of evolving seismic sequences.
Currently, these data sets take some time to be released but will soon become available in …
Currently, these data sets take some time to be released but will soon become available in …
IPIML: A deep-scan earthquake detection and location workflow integrating pair-input deep learning model and migration location method
Optimized deep learning (DL)-based workflows can improve the efficiency and accuracy of
earthquake detection and location processes. This article introduces a six-step automated …
earthquake detection and location processes. This article introduces a six-step automated …
Real‐time detection of volcanic unrest and eruption at Axial Seamount using machine learning
Axial Seamount, an extensively instrumented submarine volcano, lies at the intersection of
the Cobb–Eickelberg hot spot and the Juan de Fuca ridge. Since late 2014, the Ocean …
the Cobb–Eickelberg hot spot and the Juan de Fuca ridge. Since late 2014, the Ocean …