May 21, 2024 · OWAM achieves a balance between accuracy and efficiency, making it highly suitable for real-world applications. This advancement in traffic ...
May 24, 2024 · The criterion is based on a mean-square error similar to that leading to the final prediction error criterion for autoregressive model ...
Apr 12, 2024 · Autoencoder-based Continual Outlier Correlation Detection for Real-Time Traffic Flow Prediction. SAC '24, April 8–12, 2024, Avila, Spain.
Vehicle traffic flow prediction is an essential task for several applications including city planning, traffic congestion management and smart traffic light ...
Autoencoder-based Continual Outlier Correlation Detection for Real-Time Traffic Flow Prediction. https://doi.org/10.1145/3605098.3636162. Journal: Proceedings ...
Dec 27, 2023 · OWAM employs autoencoders for local outlier detection and generates correlation scores to assess neighboring traffic's influence. These scores ...
Autoencoder-based Continual Outlier Correlation Detection for Real ...
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The proposed Outlier Weighted Autoencoder Modeling (OWAM) framework addresses this by employing autoencoders for local outlier detection at each traffic sensor ...
Autoencoder-based Continual Outlier Correlation Detection for Real-Time Traffic Flow Prediction. 2024-04-08 | Conference paper. DOI: 10.1145/3605098.3636162.
Dec 27, 2023 · OWAM employs autoencoders for local outlier detection and generates correlation scores to assess neighboring traffic's influence.
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Dec 1, 2023 · Autoencoder-based Continual. Outlier Correlation Detection for Real-Time Traffic Flow Prediction. In he 39th. ACM/SIGAPP Symposium on Applied ...