Zero-shot transfer learning for structural health monitoring using generative adversarial networks and spectral mapping
Author:
Publisher
Elsevier BV
Subject
Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering
Reference57 articles.
1. Efficient intrusion detection algorithms for smart cities-based wireless sensing technologies;Ramadan;J. Sens. Actuator Netw.,2020
2. Pairwise graphical models for structural health monitoring with dense sensor arrays;Mohammadi Ghazi;Mech. Syst. Signal Process.,2017
3. Fast unsupervised learning methods for structural health monitoring with large vibration data from dense sensor networks;Entezami;Struct. Health Monit.,2020
4. ICT of the new wave of computing for sustainable urban forms: Their big data and context-aware augmented typologies and design concepts;Bibri;Sustainable Cities Soc.,2017
5. The fundamental axioms of structural health monitoring;Worden;Proc. R. Soc. A,2007
Cited by 7 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. Structural damage identification based on Wasserstein Generative Adversarial Network with gradient penalty and dynamic adversarial adaptation network;Mechanical Systems and Signal Processing;2024-12
2. Transferring damage detection knowledge across rotating machines and framed structures: Harnessing domain adaptation and contrastive learning;Mechanical Systems and Signal Processing;2024-12
3. Identifying unsafe behaviors of construction workers through an unsupervised multi-anomaly GAN approach;Automation in Construction;2024-09
4. Zero-shot knowledge transfer for seismic damage diagnosis through multi-channel 1D CNN integrated with autoencoder-based domain adaptation;Mechanical Systems and Signal Processing;2024-08
5. A novel unsupervised deep learning approach for vibration-based damage diagnosis using a multi-head self-attention LSTM autoencoder;Measurement;2024-04
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