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Anomaly Detection in Nanofibrous Materials by CNN-Based Self-Similarity

Research article (Sensors, 2018) · cited 289× · AI/ML
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Anomaly Detection in Nanofibrous Materials by CNN-Based Self-Similarity

Summary

Anomaly Detection in Nanofibrous Materials by CNN-Based Self-Similarity is a scholarly article[1].

Key Facts

  • Anomaly Detection in Nanofibrous Materials by CNN-Based Self-Similarity's instance of is recorded as scholarly article[2].

Related Entities

Paolo Napoletano

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Anomaly Detection in Nanofibrous Materials by CNN-Based Self-Similarity. Retrieved May 24, 2026, from https://4ort.xyz/entity/anomaly-detection-in-nanofibrous-materials-by-cnn-based-self-similarity
MLA “Anomaly Detection in Nanofibrous Materials by CNN-Based Self-Similarity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/anomaly-detection-in-nanofibrous-materials-by-cnn-based-self-similarity.
BibTeX @misc{4ortxyz_anomaly-detection-in-nanofibrous-materials-by-cnn-based-self-similarity_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Anomaly Detection in Nanofibrous Materials by CNN-Based Self-Similarity}}, year = {2026}, url = {https://4ort.xyz/entity/anomaly-detection-in-nanofibrous-materials-by-cnn-based-self-similarity}, note = {Accessed: 2026-05-24}}
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