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Neural Network Approaches for Defect Detection in Composite Materials
Composite Materials Technology
◽
10.1201/9781420093339-7
◽
2009
◽
pp. 27-52
Keyword(s):
Neural Network
◽
Composite Materials
◽
Defect Detection
◽
Network Approaches
Download Full-text
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10.1016/j.eswa.2017.04.053
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The 2nd International Conference on Computing and Data Science
◽
10.1145/3448734.3450927
◽
2021
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◽
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◽
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A Hybrid Fuzzy Convolutional Neural Network Based Mechanism for Photovoltaic Cell Defect Detection with Electroluminescence Images
IEEE Transactions on Parallel and Distributed Systems
◽
10.1109/tpds.2020.3046018
◽
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◽
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◽
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◽
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◽
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◽
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◽
Convolutional Neural Network
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Defect Detection
◽
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Creep characterization of various prosthetic and orthotics composite materials with nanoparticles using an experimental program and an artificial neural network
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◽
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Neural network approaches for multi-spectral missile discrimination
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◽
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◽
Sabino Gadaleta
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Neural Network
◽
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Convolutional neural network for sapphire ingots defect detection and classification
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◽
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◽
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◽
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◽
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◽
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Outlier detection in scatterometer data: neural network approaches
Neural Networks
◽
10.1016/s0893-6080(03)00013-3
◽
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◽
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◽
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◽
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◽
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◽
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◽
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◽
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Forest Land Cover Classification Using Statistical and Artificial Neural Network Approaches Applied to IRS LISS ‐ III Sensor
Geocarto International
◽
10.1080/10106040108542192
◽
2001
◽
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◽
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◽
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Keyword(s):
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◽
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◽
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◽
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