| Wybrane publikacje |
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| 1 | Artykuł 2026
Urszula Libal Paweł Biernacki Szymon Sołtysiak,| Robustness analysis of CNN and convolutional KAN architectures against weather and geometric distortions in traffic sign recognition. International Journal of Electronics and Telecommunications. 2026, vol. 72, nr 1, s. 1-8. ISSN: 2081-8491; 2300-1933 | | Zasoby:DOISFX |     |
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| 2 | Referat konferencyjny 2026
Urszula Libal Paweł Biernacki Agnieszka Wielgus| Sub-Pixel localization of radar targets in spatially correlated clutter. W: 2026 27th International Radar Symposium (IRS), May 19–21, 2026 Kraków, Poland : proceedings / ed. by Marek Rupniewski. Danvers, MA : IEEE, cop. 2026. s. 267-272. ISBN: 978-83-969726-5-1; 979-8-3315-6440-7 | | Zasoby:DOIURL | |
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| 3 | Referat konferencyjny 2026
Michał Klamecki, Agnieszka Wielgus Urszula Libal Paweł Biernacki| Comparison of radar-camera fusion strategies for road traffic users detection. W: 2026 27th International Radar Symposium (IRS), May 19–21, 2026 Kraków, Poland : proceedings / ed. by Marek Rupniewski. Danvers, MA : IEEE, cop. 2026. s. 226-231. ISBN: 978-83-969726-5-1; 979-8-3315-6440-7 | | Zasoby:DOIURL | |
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| 4 | Referat konferencyjny 2025
Paweł Kabacik Paweł Biernacki Stanisław M Gmyrek Dawid Sysak| Non-periodic bursts scheme in radar pulse train for uav drone detection by multi-function radar. W: 2025 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS - SPRING), Abu Dhabi, UAE, 4-8 May 2025 : proceedings. [Piscataway, NJ] : IEEE, cop. 2025. s. 1-4. ISBN: 979-8-3315-9915-7; 979-8-3315-9914-0 | | Zasoby:DOIURL | |
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| 5 | Artykuł 2025
Paweł Biernacki Urszula Libal| Monte Carlo modelling of echoes reflected by high-rise architectural landmarks in UAV anticollision radar. IET Radar, Sonar and Navigation. 2025, vol. 19, nr 1, art. e70078, s. 1-13. ISSN: 1751-8792; 1751-8784 | | Zasoby:DOIURLSFX | |
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| 6 | Artykuł 2025
Urszula Libal Paweł Biernacki| High-Rise architectural landmarks detection and identification by spatio-probabilistic models for UAV anti-collision radar - a real data case. IET Radar, Sonar and Navigation. 2025, vol. 19, nr 1, art. e70069, s. 1-16. ISSN: 1751-8792; 1751-8784 | | Zasoby:DOIURLSFX | |
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| 7 | Referat konferencyjny 2025
Szymon Sołtysiak, Paweł Biernacki Urszula Libal| Traffic sign recognition with convolutional kolmogorov-arnold networks. W: 2025 Signal Processing Symposium (SPSympo), July 09-10, 2025 Warsaw, Poland. Piscataway, NJ : IEEE, cop. 2025. 147-152. ISBN: 978-83-969726-2-0; 979-8-3315-0886-9 | | Zasoby:DOIURL | |
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| 8 | Referat konferencyjny 2025
Adam Stefaniak, Urszula Libal Agnieszka Wielgus Paweł Biernacki| Parametric and geometric active contour models for image segmentation. W: 2025 Signal Processing Symposium (SPSympo), July 09-10, 2025 Warsaw, Poland. Piscataway, NJ : IEEE, cop. 2025. s. 153-158. ISBN: 978-83-969726-2-0; 979-8-3315-0886-9 | | Zasoby:DOIURL | |
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| 9 | Artykuł 2025
Paweł Biernacki Urszula Libal| Fuel level estimation in tank of truck in motion. International Journal of Electronics and Telecommunications. 2025, vol. 71, nr 2, s. 413-418. ISSN: 2300-1933 | | Zasoby:DOIURLSFX | |
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| 10 | Artykuł 2025
Paweł Biernacki Urszula Libal| Nonlinear Schur-type audio signal parameterization for convolutional networks. IEEE Signal Processing Letters. 2025, vol. 32, s. 1665-1669. ISSN: 1070-9908; 1558-2361 | | Zasoby:DOISFX | |
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| 11 | Artykuł 2024
Urszula Libal Paweł Biernacki| MFCC-based sound classification of honey bees. International Journal of Electronics and Telecommunications. 2024, vol. 70, nr 4, s. 849-853. ISSN: 2081-8491; 2300-1933 | | Zasoby:DOISFX | |
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| 12 | Artykuł 2024
Urszula Libal Paweł Biernacki| Non-intrusive system for honeybee recognition based on audio signals and maximum likelihood classification by autoencoder. Sensors. 2024, vol. 24, nr 16, art. 5389, s. 1-19. ISSN: 1424-8220 | | Zasoby:DOIURLSFX | |
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| 13 | Artykuł 2024
Stanisław M Gmyrek Dawid Sysak Paweł Biernacki Grzegorz Jaromi,| Investigations into optimum non-periodic bursts scheme in radar pulse train designed for fixed-wing drone detections by multi-function radar. IET Radar, Sonar and Navigation. 2024, vol. 18, nr 10, s. 1874-1886. ISSN: 1751-8792; 1751-8784 | | Zasoby:DOISFX | |
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