Results 11 to 20 of about 37,745 (280)
EdgePhase: A Deep Learning Model for Multi‐Station Seismic Phase Picking
Geochemistry, Geophysics, Geosystems, 2022 In this study, we build a multi‐station phase‐picking model named EdgePhase by integrating an Edge Convolutional module with a state‐of‐the‐art single‐station phase‐picking model, EQTransformer.
Tian Feng, Saeed Mohanna, Lingsen Meng
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Seismic Phase Picking Algorithm Based on Improved Bi-LSTM
Taiyuan Ligong Daxue xuebao, 2021 In order to solve the problem of traditional waveform detection algorithms such as relying on manual setting of thresholds and low precision of phase picking, a seismic phase picking algorithm based on improved Bi-LSTM was proposed.
Zhenhua HAN +4 more
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Correction to: Picking and Choosing Among Phase I Trials [PDF]
Journal of Bioethical Inquiry, 2020 The article "Picking and Choosing Among Phase I Trials", written by Jill A. Fisher, Torin Monahan and Rebecca L. Walker, was originally published Online First without Open Access. After publication in volume 16, issue 4, page 535-549 the author decided to opt for Open Choice and to make the article an Open Access publication.
Walker, Rebecca L. +2 more
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A Microseismic Phase Picking and Polarity Determination Model Based on the Earthquake Transformer
Applied SciencesPhase arrival times and polarities provide essential kinematic constraints for and dynamic insights into seismic sources, respectively. This information serves as fundamental data in seismological study.
Ling Peng, Lei Li, Xiaobao Zeng
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Entropy, 2023 The underground pressure disaster caused by the exploitation of deep mineral resources has become a major hidden danger restricting the safe production of mines. Microseismic monitoring technology is a universally recognized means of underground pressure
Rui Dai, Yibo Wang, Da Zhang, Hu Ji
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Sensors, 2022 First arrival travel time picking is an important step in many seismic data-processing applications. Most first arrival picking methods search for a sudden jump in seismic energy at trace onsets, which is clearly appropriate for minimum-phase data.
Amen Bargees, Abdullatif A. Al-Shuhail
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Seismic Phase Picking Using a Cross-Attention Network on NVIDIA Jetson Xavier NX
IEEE AccessThis paper introduces a neural network model for seismic phase picking tailored for edge intelligence. The model architecture is meticulously designed to accommodate the resource constraints of edge computing platforms, enabling real-time seismic phase ...
Bo Lan +5 more
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DTPP:An efficient depthwise separable TCN for seismic phase picking
Artificial Intelligence in GeosciencesWith the rapid development of artificial intelligence in seismology, various deep learning-based seismic phase picking models have emerged in recent years.
Shuai Lv, Yuxiang Peng
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Seismic Phase Detection & Picking using EfficientNet
, 2022 The monitoring of seismic waves for the detection of earthquakes and the picking of the arrival of P and S waves has been a challenging task in the field of observational seismology. While the use of deep learning techniques has led to improved performance, the models tend to suffer from poor generalizability and poor picking performance with the S ...
Ramakrishnan Arularasan, Arunprasath
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Collision-Free Motion Planning of a Six-Link Manipulator Used in a Citrus Picking Robot
Applied Sciences, 2021 This paper presents the results of a motion planning algorithm that has been used in an intelligent citrus-picking robot consisting of a six-link manipulator.
Zuoliang Tang +4 more
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