Enhancing multivariate time-series anomaly detection with positional encoding mechanisms in transformers

Abdul Amir Alıoghlı; Feyza Yıldırım Okay

doi:10.1007/s11227-024-06694-6

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Enhancing multivariate time-series anomaly detection with positional encoding mechanisms in transformers

Abdul Amir Alıoghlı Feyza Yıldırım Okay

Year: 2024 Journal: The Journal of Supercomputing Vol: 81 (1) Publisher: Springer Science+Business Media

DOI: 10.1007/s11227-024-06694-6

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Keywords:

Computer science Anomaly detection Multivariate statistics Transformer F1 score Pattern recognition (psychology) Artificial intelligence Data mining Machine learning Voltage

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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 multivariate time-series anomaly detection with positional encoding mechanisms in transformers

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Citation History

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