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Faculty of Electronics

Urszula Libal, PhD

Email: urszula.libal@pwr.edu.pl

Unit: Faculty of Electronics, Photonics and Microsystems (N) » Department of Nanometrology

Urszula LibalPublications in the DONA database

ORCID 0000-0002-3348-510X


Research interests

  • Signal processing
  • Machine learning
  • Pattern recognition
  • Anomaly detection
  • Tensor transformations
  • Quantum kernel methods
  • Radar systems
  • Smart beekeeping

Most important publications from 2020-2025

  • Paweł Biernacki, Urszula Libal. Nonlinear Schur-type audio signal parameterization for convolutional networks. IEEE Signal Processing Letters. 2025, vol. 32, pp. 1665-1669.
  • Piotr Ł. Książek, Urszula Libal, Aleksandra Król-Nowak. Spectral components of honey bee sound signals recorded inside and outside the beehive: an explainable machine learning approach to diurnal pattern recognition. Sensors. 2025, vol. 25, no. 14, art. 4424, pp. 1-17.
  • Urszula Libal, Paweł Biernacki. Non-intrusive system for honeybee recognition based on audio signals and maximum likelihood classification by autoencoder. Sensors. 2024, vol. 24, no. 16, art. 5389, pp. 1-19.
  • Urszula Libal, John S. Baras, Karl H. Johansson. Dimensionality reduction of Volterra kernels by tensor decomposition using higher-order SVD. W: 2020 59th IEEE Conference on Decision and Control (CDC), Jeju Island, Republic of Korea, December 14-18, 2020. [Danvers, MA] : IEEE, cop. 2020. pp. 5935-5941. 
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