Automatic Assessment of Fabric Smoothness Appearance Based on a Compact Convolutional Neural Network With Label Smoothing
Summary
Automatic Assessment of Fabric Smoothness Appearance Based on a Compact Convolutional Neural Network With Label Smoothing is a scholarly article[1].
Key Facts
Automatic Assessment of Fabric Smoothness Appearance Based on a Compact Convolutional Neural Network With Label Smoothing's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Automatic Assessment of Fabric Smoothness Appearance Based on a Compact Convolutional Neural Network With Label Smoothing. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-assessment-of-fabric-smoothness-appearance-based-on-a-compact-convolutional-neural-network-with-label-smoothin
MLA“Automatic Assessment of Fabric Smoothness Appearance Based on a Compact Convolutional Neural Network With Label Smoothing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-assessment-of-fabric-smoothness-appearance-based-on-a-compact-convolutional-neural-network-with-label-smoothin.
BibTeX@misc{4ortxyz_automatic-assessment-of-fabric-smoothness-appearance-based-on-a-compact-convolutional-neural-network-with-label-smoothin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic Assessment of Fabric Smoothness Appearance Based on a Compact Convolutional Neural Network With Label Smoothing}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-assessment-of-fabric-smoothness-appearance-based-on-a-compact-convolutional-neural-network-with-label-smoothin}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic Assessment of Fabric Smoothness Appearance Based on a Compact Convolutional Neural Network With Label Smoothing — https://4ort.xyz/entity/automatic-assessment-of-fabric-smoothness-appearance-based-on-a-compact-convolutional-neural-network-with-label-smoothin (retrieved 2026-05-24)
