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Education Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Unsupervised network traffic anomaly detection with deep autoencoders.

• Authors : Dutta, Vibekananda¹ (AUTHOR) ; Pawlicki, Marek² (AUTHOR); Kozik, Rafał² (AUTHOR)

Subjects: *ARTIFICIAL intelligence; TRAFFIC monitoring; ANOMALY detection (Computer security)

• Source: Logic Journal of the IGPL. Dec2022, Vol. 30 Issue 6, p912-925. 14p.

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Applied Science & Technology Full Text (H.W. Wilson)

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Time series forecasting with model selection applied to anomaly detection in network traffic.

• Authors : Saganowski, Łukasz¹ (AUTHOR) ; Andrysiak, Tomasz¹ (AUTHOR)

Subjects: *TIME series analysis; TRAFFIC monitoring; ANOMALY detection (Computer security)

• Source: Logic Journal of the IGPL. Aug2020, Vol. 28 Issue 4, p531-545. 15p.

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Road traffic anomaly monitoring and warning based on DeepWalk algorithm.

• Authors : Zihe Wang; Junqing Ye; Jinjun Tang

Subjects: TRAFFIC monitoring; DEEP learning; ANOMALY detection (Computer security)

• Source: Transportation Safety & Environment; Jun2023, Vol. 5 Issue 2, p1-9, 9p

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Multi-attention-based soft partition network for vehicle re-identification.

• Authors : Sangrok Lee; Taekang Woo; Sang Hun Lee

Subjects: TRAFFIC monitoring; VEHICLES; NOISE control

• Source: Journal of Computational Design & Engineering; Apr2023, Vol. 10 Issue 2, p488-502, 15p, 1 Chart

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