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A deep unsupervised representation learning approach for effective cyber-physical attack detection and identification on highly imbalanced data.
Research article (Conference of the Centre for Advanced Studies on Collaborative Research, 2019) · cited 29× · AI/ML
A deep unsupervised representation learning approach for effective cyber-physical attack detection and identification on highly imbalanced data.
Summary
A deep unsupervised representation learning approach for effective cyber-physical attack detection and identification on highly imbalanced data. is a scholarly article[1].
Key Facts
A deep unsupervised representation learning approach for effective cyber-physical attack detection and identification on highly imbalanced data.'s instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A deep unsupervised representation learning approach for effective cyber-physical attack detection and identification on highly imbalanced data.. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-unsupervised-representation-learning-approach-for-effective-cyber-physical-attack-detection-and-identification-on
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BibTeX@misc{4ortxyz_a-deep-unsupervised-representation-learning-approach-for-effective-cyber-physical-attack-detection-and-identification-on_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A deep unsupervised representation learning approach for effective cyber-physical attack detection and identification on highly imbalanced data.}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-unsupervised-representation-learning-approach-for-effective-cyber-physical-attack-detection-and-identification-on}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A deep unsupervised representation learning approach for effective cyber-physical attack detection and identification on highly imbalanced data. — https://4ort.xyz/entity/a-deep-unsupervised-representation-learning-approach-for-effective-cyber-physical-attack-detection-and-identification-on (retrieved 2026-05-24)