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Stress wave evaluation by accelerometer and acoustic emission sensor for thermally modified wood classification using three types of neural networks
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Metadata
- Authors
- Nasir, V., Nourian, S., Avramidis, S., & Cool, J.
- Affiliations
- University of British Columbia (CA)
- Corresponding author
- Nasir, Vahid
- Venue
- European Journal of Wood and Wood Products
- Published
- 2018-11-22
- Volume
- 77
- Issue
- 1
- Pages
- 45-55
- ISSN
- 0018-3768 (ISSN-L)
- 1436-736X
- OpenAlex
- W2900452985
- Cited by
- 47
- References
- 21
- Citations by year
- 2025: 4 · 2024: 2 · 2023: 7 · 2022: 5 · 2021: 13 · 2020: 9 · 2019: 5 · 2018: 2
- FWCI
- 5.81
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- European Journal of Wood and Wood Products (publishedVersion)
- Topics
- Physical Sciences › Engineering › Building and Construction › Wood Treatment and Properties
- Physical Sciences › Engineering › Mechanical Engineering › Non-Destructive Testing Techniques
- Physical Sciences › Engineering › Mechanics of Materials › Ultrasonics and Acoustic Wave Propagation
- Keywords
- thermally modified wood, stress wave velocity, acoustic emission, pendulum impact, western hemlock, wavelet features, feature fusion, linear vector quantization, group method of data handling, multilayer perceptron, non-destructive testing, wood moisture content, dynamic modulus of elasticity
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