Automatic event detection from time series signals has broad applications. Traditional
detection methods detect events primarily by the use of similarity and correlation in data …

摘要很多地震学问题的解决都依赖于地震事件的准确检测, 随着计算机软硬件的快速发展,
机器学习学科发展迅速, 其在地震事件自动检测中的应用在过去几十年被广泛研究 …

EQcorrscan is an open‐source Python package for the detection and analysis of repeating
and near‐repeating seismicity. The package provides reliable, well‐tested, system‐agnostic …

Matched‐filter searches are an important tool in modern seismology to detect seismic
events. They operate via an algorithm that computes the correlation coefficient between a …

Earthquakes are among the most complex and expensive natural catastrophes that humans
face, which strikes without warning. As a result, earthquake prediction has become a …

Seismograms are convolution results between seismic sources and the media that seismic
waves propagate through, and, therefore, the primary observations for studying seismic …

We investigate the feasibility of using the dynamic time warping (DTW) technique as an
alternative to windowed cross correlation (WCC) for an indirect measure to quantify both the …

We present a new method to accelerate the process of matched filtering (template matching)
of seismic waveforms by efficient calculation of (cross‐) correlation coefficients. The cross …

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 …

Identifying useful microseismic events is one of the key steps in monitoring tunnel
rockbursts. Here, we propose a strong noise-tolerance deep learning (SNTDL) network for …