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Graph‐Partitioning Based Convolutional Neural Network for Earthquake Detection Using a Seismic Array
Journal of Geophysical Research: Solid Earth, 2020We present a deep‐learning approach for earthquake detection using waveforms from a seismic array consisting of multiple seismographs. Although automated, deep‐learning earthquake detection techniques have recently been developed at the single‐station ...
Keisuke Yano +6 more
semanticscholar +1 more source
Spectral analysis for earthquake cluster detection
SEG Technical Program Expanded Abstracts 2012, 2012Identifying individual subsurface faults in a larger fault system is key to characterizing, understanding and potentially mitigating risks of natural or induced seismicity. We present a method of statistically clustering event spectra from microseismic events associated with an enhanced oil recovery operation in southeast Utah.
Deborah Fagan +2 more
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CrowdQuake: A Networked System of Low-Cost Sensors for Earthquake Detection via Deep Learning
Knowledge Discovery and Data Mining, 2020Recently, low-cost acceleration sensors have been widely used to detect earthquakes due to the significant development of MEMS technologies. It, however, still requires a high-density network to fully harness the low-cost sensors, especially for real ...
Xin Huang +3 more
semanticscholar +1 more source
Simultaneous Earthquake Detection on Multiple Stations via a Convolutional Neural Network
, 2020In recent years, as the amount of seismic data has grown rapidly, it is very important to develop a fast and reliable event detection and association algorithm.
Shaobo Yang +3 more
semanticscholar +1 more source
Detecting tsunamigenesis from undersea earthquake signals
Journal of Asian Earth Sciences, 2009Abstract Tsunami warnings have always been made from imperfect and limited data often relying solely on the earthquake magnitude and epicenter location. Large earthquakes ( M > 7) occurring in a deep sea, often cause significant tsunamis. However, tsunami generation is not determined by the magnitude of the earthquake alone, but also affected by the
Chew, S.-H., Kuenza, K.
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Earthquake precursors detected by astronomical observations
Acta Seismologica Sinica, 2002It has been primarily confirmed that before the occurrence of a middle or major earthquake, anomalies in the residuals of universal time and latitude measurements obtained by astrometric observations may appear. We investigate the relation between the residual anomalies and the three key factors of an earthquake.
Guo-dong Zhang +2 more
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Learn to Detect: Improving the Accuracy of Earthquake Detection
IEEE Transactions on Geoscience and Remote Sensing, 2019Earthquake early warning system uses high-speed computer network to transmit earthquake information to population center ahead of the arrival of destructive earthquake waves. This short (10 s of seconds) lead time will allow emergency responses such as turning off gas pipeline valves to be activated to mitigate potential disaster and casualties ...
Tai-Lin Chin +5 more
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Trends in detection in earthquake seismology
The Journal of the Acoustical Society of America, 2006Detection methods in earthquake seismology have been dominated in the past by simple energy detectors, often combined with array processing (beamforming) to detect at lower thresholds. Increasingly, correlation detectors now are being employed to exploit the additional gain possible with coherent detection methods.
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
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