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Djenouri et al., 2022 - Google Patents

Intelligent deep fusion network for urban traffic flow anomaly identification

Djenouri et al., 2022

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Document ID
2536054083231299495
Author
Djenouri Y
Belhadi A
Chen H
Lin J
Publication year
Publication venue
Computer communications

External Links

Snippet

This paper presents a novel deep learning architecture for identifying outliers in the context of intelligent transportation systems. The use of a convolutional neural network with an efficient decomposition strategy is explored to find the anomalous behavior of urban traffic …
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    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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