Results 271 to 280 of about 5,037,076 (326)

Earthquake Detection and P-Wave Arrival Time Picking Using Capsule Neural Network

IEEE Transactions on Geoscience and Remote Sensing, 2021
Earthquake detection is an essential step in observational earthquake seismology. We propose to utilize a capsule neural network (CapsNet) to automatically identify and detect earthquakes. CapsNet is the new generation of deep learning architecture.
O. Saad, Yangkang Chen
semanticscholar   +1 more source

SCALODEEP: A Highly Generalized Deep Learning Framework for Real‐Time Earthquake Detection

Journal of Geophysical Research: Solid Earth, 2021
The detection of earthquake signals is a fundamental yet challenging task in observational seismology. A robust automatic earthquake detection algorithm is strongly demanded in view of the ever‐growing global seismic dataset.
O. Saad, Guangtan Huang, Yunfeng Chen, A. Savvaidis, Sergey Fomel, N. Pham, Yangkang Zhang   +6 more
semanticscholar   +1 more source

Siamese Earthquake Transformer: A Pair‐Input Deep‐Learning Model for Earthquake Detection and Phase Picking on a Seismic Array

Journal of Geophysical Research: Solid Earth, 2021
Earthquake detection and phase picking play a fundamental role in studying seismic hazards and the Earth’s interior. Many deep‐learning‐based methods, including the state‐of‐the‐art model called Earthquake Transformer (EqT), have made considerable ...
Zhuowei Xiao, Jian Wang, Chang Liu, Juan Li, Liang Zhao, Z. Yao   +5 more
semanticscholar   +1 more source

An Earthquake Detection and Location Architecture for Continuous Seismograms: Phase Picking, Association, Location, and Matched Filter (PALM)

Seismological Research Letters, 2021
We developed an earthquake detection and location architecture for continuous seismograms that incorporates phase picking, phase association, location, and matched-filter techniques (PALM).
Yijian Zhou, H. Yue, L. Fang, Shiyong Zhou, Li Zhao, A. Ghosh   +5 more
semanticscholar   +1 more source

ADE-Net: A Deep Neural Network for DAS Earthquake Detection Trained With a Limited Number of Positive Samples

IEEE Transactions on Geoscience and Remote Sensing, 2022
The distributed acoustic sensing (DAS) technology that has emerged in recent years, combined with existing optical cables for earthquake monitoring, has the advantages of low deployment cost and dense sampling capability and has been used in various ...
Hao Lv, Xiangfang Zeng, Feng Bao, Jun Xie, Rongbing Lin, Zhenghong Song, Gongbo Zhang   +6 more
semanticscholar   +1 more source

MALMI: An Automated Earthquake Detection and Location Workflow Based on Machine Learning and Waveform Migration

Seismological Research Letters, 2022
Robust automatic event detection and location is central to real-time earthquake monitoring. With the increase of computing power and data availability, automated workflows that utilize machine learning (ML) techniques have become increasingly popular;
P. Shi, F. Grigoli, F. Lanza, G. Beroza, L. Scarabello, S. Wiemer   +5 more
semanticscholar   +1 more source

RED-PAN: Real-Time Earthquake Detection and Phase-Picking With Multitask Attention Network

IEEE Transactions on Geoscience and Remote Sensing, 2022
In this article, we show that the real-time earthquake detection and phase picking with multitask attention network (RED-PAN) can carry out earthquake detection and seismic phase picking on real-time and continuous data with appropriate data augmentation.
Wu-Yu Liao, En-Jui Lee, Da-Yi Chen, Po Chen, D. Mu, Yih‐Min Wu   +5 more
semanticscholar   +1 more source

Attention-Based Fully Convolutional DenseNet for Earthquake Detection

IEEE Transactions on Geoscience and Remote Sensing, 2022
We propose a novel deep learning method using an attention-based fully convolutional dense network (FCDNet) for automatic earthquake detection. The FCDNet consists of encoder–decoder parts with skip connections, where each encoder–decoder block contains ...
Hagar S. Elsayed, O.M. Saad, M. Sami Soliman, Y. Chen, Hassan A. Youness   +4 more
semanticscholar   +1 more source

Transforming Earthquake Detection?

Science, 2012
Citizen science projects have the potential to transform earthquake science if data quality standards are maintained.
openaire   +1 more source

Intelligent Real-Time Earthquake Detection by Recurrent Neural Networks

IEEE Transactions on Geoscience and Remote Sensing, 2020
Taiwan that is located at the junction of the Eurasian Plate and the Philippine Sea Plate is one of the most active seismic zones in the world. Devastating earthquakes have occurred around the island and have caused severe damages from time to time.
Tai-Lin Chin, Kuan-Yu Chen, Da-Yi Chen, De-En Lin   +3 more
semanticscholar   +1 more source