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Anomaly graph: leveraging dynamic graph convolutional networks for enhanced video anomaly detection in surveillance and security applications
Research article (Neural Computing and Applications, 2024) · cited 15× · AI/ML
Anomaly graph: leveraging dynamic graph convolutional networks for enhanced video anomaly detection in surveillance and security applications
Summary
Anomaly graph: leveraging dynamic graph convolutional networks for enhanced video anomaly detection in surveillance and security applications is a scholarly article[1].
Key Facts
Anomaly graph: leveraging dynamic graph convolutional networks for enhanced video anomaly detection in surveillance and security applications's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Anomaly graph: leveraging dynamic graph convolutional networks for enhanced video anomaly detection in surveillance and security applications. Retrieved May 24, 2026, from https://4ort.xyz/entity/anomaly-graph-leveraging-dynamic-graph-convolutional-networks-for-enhanced-video-anomaly-detection-in-surveillance-and-s
MLA“Anomaly graph: leveraging dynamic graph convolutional networks for enhanced video anomaly detection in surveillance and security applications.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/anomaly-graph-leveraging-dynamic-graph-convolutional-networks-for-enhanced-video-anomaly-detection-in-surveillance-and-s.
BibTeX@misc{4ortxyz_anomaly-graph-leveraging-dynamic-graph-convolutional-networks-for-enhanced-video-anomaly-detection-in-surveillance-and-s_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Anomaly graph: leveraging dynamic graph convolutional networks for enhanced video anomaly detection in surveillance and security applications}}, year = {2026}, url = {https://4ort.xyz/entity/anomaly-graph-leveraging-dynamic-graph-convolutional-networks-for-enhanced-video-anomaly-detection-in-surveillance-and-s}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Anomaly graph: leveraging dynamic graph convolutional networks for enhanced video anomaly detection in surveillance and security applications — https://4ort.xyz/entity/anomaly-graph-leveraging-dynamic-graph-convolutional-networks-for-enhanced-video-anomaly-detection-in-surveillance-and-s (retrieved 2026-05-24)
