Results 41 to 50 of about 953 (196)

Semi-automated template matching and machine-learning based analysis of the August 2020 Castelsaraceno microearthquake sequence (southern Italy)

open access: yesGeomatics, Natural Hazards & Risk, 2023
The accurate characterization of microearthquake sequences allows seismologists to better understand the physical processes involved in earthquake nucleation and rupture propagation and to gain insights on fault geometry at depth. Standard procedures for
S. Panebianco   +4 more
doaj   +1 more source

Seismic Phase Picking

open access: yesCoRR
Seismic phase picking, which aims to determine the arrival time of P- and S-waves according to seismic waveforms, is fundamental to earthquake monitoring. Generally, manual phase picking is trustworthy, but with the increasing number of worldwide stations and seismic monitors, it becomes more challenging for human to complete the task comprehensively ...
Yuchen Wang, Ruihuan Wang
openaire   +2 more sources

Developing Deep Learning Tools in Earthquake Detection and Phase Picking

open access: yes, 2023
With the rapid growth of seismic data volumes, traditional automated processing methods, which have been in use for decades, face increasing challenges in handling these data, especially in noisy environments.
Mai, Hao
core   +1 more source

Polarization filtering for automatic picking of seismic data and improved converted phase detection [PDF]

open access: yes, 2001
Data-adaptive polarization filtering is used to improve the detection of converted seismic phases. Both direct waves and mode-converted PS and SP arrivals may be more easily picked on the filtered records.
Mao, W (15511382)   +2 more
core   +3 more sources

Automatic picking of the first arrival event using the unwrapped-phase of the Fourier transformed wavefield

open access: yes, 2011
First-arrival picking has long suffered from cycle skipping, especially when the first arrival is contaminated with noise or have experienced complex near surface phenomena.
Saragiotis, Christos   +5 more
core   +1 more source

Automatic seismic phase picking based on unsupervised machine learning classification and content information analysis

open access: yes, 2020
Accurate identification and picking of P- and S-wave arrivals is important in earthquake and exploration seismology. Often, existing algorithms lack in automation, multi-phase classification and picking, as well as performance accuracy.
Akram, Jubran   +2 more
core   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

open access: yesAdvanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang   +8 more
wiley   +1 more source

Automatic S-Phase Picking for Volcano-Tectonic Earthquakes Using Spectral Dissimilarity Analysis

open access: yes, 2020
We present an S-phase picking algorithm for volcano-tectonic earthquakes (VTs), based on the changes of frequency and amplitude expected in the plane transverse to the ray direction at S-phase arrival.
Garcia, Luz   +5 more
core   +1 more source

Optimizing Strategies for Non‐Invasive Prospection of Settlements in the Intertidal Zone: A Case Study From the Centre of the Drowned Medieval Village of Tolsende (Scheldt Estuary, the Netherlands)

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT Medieval and early modern drowned villages in the intertidal zone of the Scheldt estuary (the Netherlands) constitute intriguing yet largely understudied components of north‐western Europe's underwater cultural heritage. Despite their high archaeological potential as time capsules of past settlement landscapes, research has remained limited ...
Jan Trachet   +9 more
wiley   +1 more source

Micro-seismic events detection and its tectonic implications in Northeastern Hainan Province

open access: yesFrontiers in Earth Science, 2023
In this paper, we combine the U-net-based phase picking method (PhaseNet) with Graphics Processing Unit-Based Match and Locate technology (GPU-M&L) and a deep-learning-based seismic signal de-noising method (DeepDenoiser) as a workflow for ...
Zeyu Ma   +5 more
doaj   +1 more source

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