Enhancing Anomaly Detection in Multivariate Time Series with Stacked Transformer Encoders and Adaptive Positional Embeddings

Kella Sowmya; K. Ramesh

doi:10.1007/s13369-024-09821-w

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Enhancing Anomaly Detection in Multivariate Time Series with Stacked Transformer Encoders and Adaptive Positional Embeddings

Kella Sowmya K. Ramesh

Year: 2024 Journal: Arabian Journal for Science and Engineering Vol: 50 (15)Pages: 12479-12494 Publisher: Springer Science+Business Media

DOI: 10.1007/s13369-024-09821-w

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Keywords:

Computer science Encoder Pattern recognition (psychology) Artificial intelligence Multivariate statistics Anomaly detection Feature extraction Transformer Adaptability Inference Data mining Machine learning Engineering

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Enhancing Anomaly Detection in Multivariate Time Series with Stacked Transformer Encoders and Adaptive Positional Embeddings

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