Results 1 to 10 of about 3,178,879 (308)
Earthquake Detection in a Static and Dynamic Environment Using Supervised Machine Learning and a Novel Feature Extraction Method [PDF]
Sensors, 2020 Detecting earthquakes using smartphones or IoT devices in real-time is an arduous and challenging task, not only because it is constrained with the hard real-time issue but also due to the similarity of earthquake signals and the non-earthquake signals ...
Irshad Khan +2 more
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BLESeis: Low-Cost IoT Sensor for Smart Earthquake Detection and Notification [PDF]
Sensors, 2020 The Internet of Things (IoT) has been implemented to provide solutions for certain event detection because of ease of installation, computing and communication capability, and cost-effectiveness. Seismic event detection, however, is still a challenge due
Jongbin Won +3 more
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Unsupervised anomaly detection for earthquake detection on Korea high-speed trains using autoencoder-based deep learning models [PDF]
Scientific ReportsWe propose a method for detecting earthquakes for high-speed trains based on unsupervised anomaly-detection techniques. In particular, we utilized autoencoder-based deep learning models for unsupervised learning using only normal training vibration data.
Jeonguk Seo +5 more
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Earthquake Science, 2023 On September 16, 2021, a MS6.0 earthquake struck Luxian County, one of the shale gas blocks in the Southeastern Sichuan Basin, China. To understand the seismogenic environment and its mechanism, we inverted a fine three-dimensional S-wave velocity model ...
Wei Xu +6 more
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Earthquake Detection Using Stacked Normalized Recurrent Neural Network (SNRNN)
Applied Sciences, 2023 Earthquakes threaten people, homes, and infrastructure. Earthquake detection is a complex task because it does not show any specific pattern, unlike object detection from images.
Muhammad Atif Bilal +4 more
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EPick: Attention-based multi-scale UNet for earthquake detection and seismic phase picking
Frontiers in Earth Science, 2022 Earthquake detection and seismic phase picking play a crucial role in the travel-time estimation of P and S waves, which is an important step in locating the hypocenter of an event. The phase-arrival time is usually picked manually. However, its capacity
Wei Li +17 more
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Induced Seismicity Completeness Analysis for Improved Data Mining
Frontiers in Earth Science, 2021 The study of induced seismicity at sites of fluid injection is paramount to assess the seismic response of the earth’s crust and to mitigate the potential seismic risk. However statistical analysis is limited to events above the completeness magnitude mc,
Arnaud Mignan, Arnaud Mignan
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Geofluids, 2020 The seismotectonically induced changes in groundwater radon (Rn) are considered to be strong imputes for the surveillance of imminent major earthquakes. Groundwater facilitates the migration of soil gases as a result of tectonic stresses. In this regard,
Aftab Alam +3 more
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LEQNet: Light Earthquake Deep Neural Network for Earthquake Detection and Phase Picking
Frontiers in Earth Science, 2022 Developing seismic signal detection and phase picking is an essential step for an on-site early earthquake warning system. A few deep learning approaches have been developed to improve the accuracy of seismic signal detection and phase picking.
Jongseong Lim +8 more
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Mathematics, 2022 Non-stationary signals are often analyzed using raw waveform data or spectrograms of those data; however, the possibility of alternative time–frequency representations being more informative than the original data or spectrograms is yet to be ...
Marko Njirjak +6 more
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