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Material Type: Theses
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Committee Member: Ross, Arun A.
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Subject: Structural health monitoring
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Electronic Theses & Dissertations
2
Language
English
2
Copyright Status
In Copyright
2
Subject
Detectors
1
Machine learning
1
Pattern perception
1
Structural analysis (Engineering)
1
Wireless sensor networks
1
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Damage progression quantification and data robustness evaluation in self-powered sensors networks
Hasni, Hassene
Text (2018)
Part of
Electronic Theses & Dissertations
Data interpretation frameworks employing machine learning for energy-lean data-driven structural health monitoring with novel self-powered sensing technology
Salehi, Hadi
Text (2019)
Part of
Electronic Theses & Dissertations
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