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Proposed Machine Learning Techniques for Bridge Structural Health Monitoring: A Laboratory Study.

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Title: Proposed Machine Learning Techniques for Bridge Structural Health Monitoring: A Laboratory Study.
Authors: Noori Hoshyar, Azadeh1 (AUTHOR) a.noorihoshyar@federation.edu.au, Rashidi, Maria2 (AUTHOR), Yu, Yang3 (AUTHOR), Samali, Bijan2 (AUTHOR)
Source: Remote Sensing. Apr2023, Vol. 15 Issue 8, p1984. 23p.
Database: Academic Search Ultimate
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  Data: Proposed Machine Learning Techniques for Bridge Structural Health Monitoring: A Laboratory Study.
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  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Apr2023, Vol. 15 Issue 8, p1984. 23p.
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        Value: 10.3390/rs15081984
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      – Code: eng
        Text: English
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        PageCount: 23
        StartPage: 1984
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      – TitleFull: Proposed Machine Learning Techniques for Bridge Structural Health Monitoring: A Laboratory Study.
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            NameFull: Noori Hoshyar, Azadeh
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            NameFull: Rashidi, Maria
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            NameFull: Yu, Yang
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              Text: Apr2023
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              Y: 2023
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