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Space Plasma Physics & Machine Learning Applications

Adaptive PCA-Based Outlier Detection for Multi-feature Time Series in Space Missions

Published in Lecture Notes in Computer Science, 2025

Recommended citation: J. Ekelund, S. Raptis, V. Toy-Edens, W. Mo, D. L. Turner, I. J. Cohen, S. Markidis. (2025). Adaptive PCA-Based Outlier Detection for Multi-feature Time Series in Space Missions. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-031-97626-1_18

Abstract

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BibTeX

@article{ekelund2025,
  title = {Adaptive PCA-Based Outlier Detection for Multi-feature Time Series in Space Missions},
  author = {J. Ekelund, S. Raptis, V. Toy-Edens, W. Mo, D. L. Turner, I. J. Cohen, S. Markidis},
  journal = {Lecture Notes in Computer Science},
  year = {2025},
  doi = {10.1007/978-3-031-97626-1_18}
}