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In Press

2. Książek, K., P. Głomb, M. Romaszewski, M. Cholewa, B. Grabowski, and K. Buza, "Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation", 21st International Conference on Image Analysis and Processing, Lecce, Italy, Springer, 05/2022, In Press.


4. Żarski, M., B. Wójcik, K. Książek, M. Salamak, and J. Miszczak, "Advances in applicable deep-learning based defect detection", 2nd Workshop on Engineering Optimization – WEO 2021, Warsaw, Institute of Fundamental Technological Research of the Polish Academy of Sciences, 2021.  (377.77 KB)
5. Książek, K., and K. Buza, "A hybrid CNN-SVM approach with dynamic time warping for time series classification", 8th International Conference on Mathematics and Informatics, Târgu Mureș, Romania, 09/2021.
7. Książek, K., and K. Grochla, "Flexibility Analysis of Adaptive Data Rate Algorithm in LoRa Networks", IEEE IWCMC 2021 - 17th Int. Wireless Communications & Mobile Computing Conference, Harbin, China, IEEE, 2021.


10. Książek, K., M. Romaszewski, P. Głomb, B. Grabowski, and M. Cholewa, "Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks", Sensors, vol. 20, issue Recent Advances in Multi- and Hyperspectral Image Analysis, 11/2020.