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research assisstant
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Publications

Submitted

2022

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, vol. 13231, Lecce, Italy, Springer, Cham, 05/2022.
3. 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.
4. 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.

2021

6. 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.
9. 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)
10. 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.

2020

12. 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.

2019