Results 121 to 130 of about 15,161 (215)

Deep learning detects uncataloged low-frequency earthquakes across regions

Seismica
Documenting the interplay between slow deformation and seismic ruptures is essential to understand the physics of earthquakes nucleation. However, slow deformation is often difficult to detect and characterize.
Jannes Münchmeyer, Sophie Giffard-Roisin, Marielle Malfante, William Frank, Piero Poli, David Marsan, Anne Socquet   +6 more
doaj   +1 more source

LFTNet: A Lightweight Multi‐Scale Attention Network for Real‐Time Seismic Event Detection and Phase Picking

Earth and Space Science
Although deep learning has advanced seismic analysis, accurately identifying seismic phases in noisy or complex waveform environments remains challenging.
Jiashu Guo, Jiyu Tian, Yuming Guo, Hongxia Zhang   +3 more
doaj   +1 more source

Seismic phase picking in China Seismic Array using a deep convolutional neuron network*

Earthquake Science, 2020
Long Zhang, Lihua Fang, Weilai Wang, Zuoyong Lv   +3 more
openaire   +1 more source

Stochastic determination of arrival time and initial polarity of seismic waveform

Earth, Planets and Space
In this study, we have developed and implemented a new technology capable of probabilistically selecting phase arrival times and determining the initial polarity of seismic waveforms without the requirement of prior information.
Weilai Pei, Jiancang Zhuang, Shiyong Zhou   +2 more
doaj   +1 more source

Diagnosing and Breaking Amplitude Suppression in Seismic Phase Picking Through Adversarial Shape Learning

Deep learning has revolutionized seismic phase picking, yet a paradox persists: high signal-to-noise S-wave predictions consistently fail to cross detection thresholds, oscillating at suppressed amplitudes. We identify this previously unexplained phenomenon as amplitude suppression, which we diagnose through analyzing training histories and loss ...
Huang, Chun-Ming, Chang, Li-Heng, Chang, I-Hsin, Lee, An-Sheng, Kuo-Chen, Hao   +4 more
openaire   +2 more sources

Efficient seismic data denoising via multi-scale attention network with depthwise separable and residual dilated convolutions. [PDF]

Sci Rep
Yao Z, Hao L, Qin L, Chen J, Li W.
europepmc   +1 more source

Robust Phase Association and Simultaneous Arrival Picking for Downhole Microseismic Data Using Constrained Dynamic Time Warping. [PDF]

Sensors (Basel)
Wang T, Li L, Wen S, Lv Y, Yu Z, He C.
europepmc   +1 more source

CRPN: A cascaded classification and regression DNN framework for seismic phase picking*

Earthquake Science, 2020
Ziye Yu, Risheng Chu, Weitao Wang, Minhan Sheng   +3 more
openaire   +1 more source

Enhancing the resolution of microseismicity through dense array monitoring in complex extensional settings. [PDF]

Sci Rep
Scotto di Uccio F, Muzellec T, Scala A, De Landro G, Camanni G, Carotenuto F, Elia L, Picozzi M, Zollo A, Strumia C, Beroza GC, Festa G.   +11 more
europepmc   +1 more source

Improved first arrival picking of microseismic P-waves in coal mines using multi-denoising and adaptive characteristic functions. [PDF]

Sci Rep
Zhang Y, Zhan K, Song P, Liang C, Xu R, Kong C.   +5 more
europepmc   +1 more source