assistant professor
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4. 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, vol. 13231, Lecce, Italy, Springer, Cham, 05/2022.
5. Grochla, K., A. Strzoda, R. Marjasz, P. Głomb, K. Książek, and Z. Łaskarzewski, "Energy-Aware Algorithm for Assignment of Relays in LPWAN", Transactions on Sensor Networks, vol. 18, issue 4, 11/2022.
6. Grabowski, B., P. Głomb, K. Książek, and K. Buza, " Improving Autoencoders Performance for Hyperspectral Unmixing Using Clustering", Asian Conference on Intelligent Information and Database Systems, vol. 1716, Ho Chi Minh City, Vietnam, Springer, 11/2022.


8. 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.
11. 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)
12. 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.


14. 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.


Historia zmian

Data aktualizacji: 04/08/2023 - 12:55; autor zmian: Kamil Książek (