Recognition and prediction of ground vibration signal based on machine learning algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-019-04496-z.pdf
Reference27 articles.
1. Meier MA, Ross ZE, Ramachandran A, Balakrishna A, Nair S, Kundzicz P, Yue Y (2019) Reliable real-time seismic signal/noise discrimination with machine learning. J Geophys Res Solid Earth 124(1):788–800
2. Douglas J, Edwards B (2016) Recent and future developments in earthquake ground motion estimation. Earth Sci Rev 160:203–219
3. Liu X, Li Y, Wang Q (2018) Multi-view hierarchical bidirectional recurrent neural network for depth video sequence based action recognition. Int J Pattern Recognit Artif Intell 32(10):1850033
4. Lin GW, Hung C, Syu HS (2019) Evaluation of an enhanced FS method for finding the initiation time of earthquake-induced landslides. Bull Eng Geol Env 78(1):497–506
5. Zhou F, Gan J, Lv H, Cui L (2018) Application of wavelet analysis in underground embedded distributed optical fiber vibration monitoring system. In IOP conference series: earth and environmental science, vol 189, no 3, p 032025, IOP Publishing
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Application of Acoustic Signal Hybrid Filtering with 1D-CNN for Fault Diagnosis of Natural Gas Pipeline Leakage;Journal of Pipeline Systems Engineering and Practice;2024-08
2. A Data Compression Method for Wellbore Stability Monitoring Based on Deep Autoencoder;Sensors;2024-06-20
3. Intelligent Approaches for Predicting the Intact Rock Mechanical Parameters and Crack Stress Thresholds;Rock Mechanics and Rock Engineering;2024-05-26
4. Hybrid Stochastic Genetic Evolution-Based Prediction Model of Received Input Voltage for Underground Imaging Applications;2023 8th International Conference on Business and Industrial Research (ICBIR);2023-05-18
5. Self-Powered Long-Life Microsystem for Vibration Sensing and Target Recognition;Sensors;2022-12-07
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3