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Articles | Volume 21
https://doi.org/10.5194/ars-21-37-2023
https://doi.org/10.5194/ars-21-37-2023
01 Dec 2023
 | 01 Dec 2023

Anomaly Detection with Decision Trees for AI Assisted Evaluation of Signal Integrity on PCB Transmission Lines

Emre Ecik, Werner John, Julian Withöft, and Jürgen Götze

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Adv. Radio Sci., 21, 77–87, https://doi.org/10.5194/ars-21-77-2023,https://doi.org/10.5194/ars-21-77-2023, 2023
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Cited articles

Ambasana, N., Bhatti, O. W., Dolatsara, M. A., Swaminathan, M., Yang, X., Paladhi, P. R., and Becker, W. D.: Invertible Neural Networks for High-Speed Channel Design & Parameter Distribution Estimation, 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), Austin, USA, 17–20 October 2021, 1–3, https://doi.org/10.1109/EPEPS51341.2021.9609225, 2021. a
Bortolazzi, J. and Müller-Glaser, K.D.: Rechnergestützte Spezifikation in einer integrierten Entwurfsumgebung für anwendungsspezifische Systeme, in: Rechnergestützter Entwurf und Architektur mikroelektronischer Systeme, Informatikfachberichte, 255, edited by: Reusch, B., Springer, Berlin, Heidelberg, Germany, 75–90, https://doi.org/10.1007/978-3-642-84304-4_8, 1990. a
Breiman, L., Friedman, J. H., Olshen, R. A., and Stone, C. J.: Classification and Regression Trees, Chapman & Hall/CRC, New York, USA, ISBN 978-0-412-04841-8, 1984. a
Casas, P., Fiadino, P., and D'Alconzo, A.: Machine-Learning Based Approaches for Anomaly Detection and Classification in Cellular Networks, in: Proceedings of the 8th International Workshop on Traffic Monitoring and Analysis, TMA 2016, Louvain la Neuve, Belgium, 7–8 April, ISBN 978-3-901882-92-0, 2016. a, b
Ecik, E., John, W., Withöft, J., Brüning, R., and Götze, J.: Signal Integrity Design of PCB Transmission Paths using a Decision Tree Approach, 2023 International Symposium on Electromagnetic Compatibility – EMC Europe, Krakow, Poland, 1–6, https://doi.org/10.1109/EMCEurope57790.2023.10274174, 2023. a
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The implementation of an anomaly detection with a decision tree was investigated with respect to...
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