Design of deep convolutional neural network architectures for automated feature extraction in industrial inspection

Research article (CIRP Annals, 2016) · cited 561× · AI/ML
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Design of deep convolutional neural network architectures for automated feature extraction in industrial inspection

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Design of deep convolutional neural network architectures for automated feature extraction in industrial inspection is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Design of deep convolutional neural network architectures for automated feature extraction in industrial inspection. Retrieved May 24, 2026, from https://4ort.xyz/entity/design-of-deep-convolutional-neural-network-architectures-for-automated-feature-extraction-in-industrial-inspection
MLA “Design of deep convolutional neural network architectures for automated feature extraction in industrial inspection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/design-of-deep-convolutional-neural-network-architectures-for-automated-feature-extraction-in-industrial-inspection.
BibTeX @misc{4ortxyz_design-of-deep-convolutional-neural-network-architectures-for-automated-feature-extraction-in-industrial-inspection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Design of deep convolutional neural network architectures for automated feature extraction in industrial inspection}}, year = {2026}, url = {https://4ort.xyz/entity/design-of-deep-convolutional-neural-network-architectures-for-automated-feature-extraction-in-industrial-inspection}, note = {Accessed: 2026-05-24}}
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