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Fast Automatic Segmentation of Microseismic and Blasting Events without Labeled Data Using Sparse Graph Spectral Clustering
Publisher: American Society of Civil Engineers
Abstract: AbstractDifferentiating between microseismic and blasting events is a classical task in underground
excavation monitoring. Most of the machine learning methods utilized for this task
are supervised and require labeled data. ...
Fast Semiautomatic Change Point Detection in Deformation Monitoring Using Kullback–Leibler Divergence
Publisher: American Society of Civil Engineers
Abstract: AbstractAutomated change point detection in deformation monitoring data is desirable for engineering
applications (e.g., operation, maintenance, and early warning). This study proposes
a novel change point detection ...
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