dr hab. inż. Joanna Domańska Email: Orcid ID: 0000-0002-1935-8358Stanowisko: z-ca dyrektoraZespół badawczy Zespół Modelowania, Oceny Efektywności i Bezpieczeństwa Systemów Komputerowych Horizontal TabsPublikacje Biblio RSS 2024 1. Siavvas, M., D. Tsoukalas, C. Marantos, L. Papadopoulos, C. Lamprakos, O. Matei, C. Strydis, M. Ali Siddiqi, P. Chrobocinski, K. Filus, et al., "SDK4ED: a platform for building energy efficient, dependable, and maintainable embedded software", Automated Software Engineering, 2024. 2023 2. Sobczak, Ł., K. Filus, M. Halama, and J. Domańska, "Visual examination of relations between known classes for deep neural network classifiers.", 2023 IEEE International Conference on Big Data, Sorrento, Italy, 01/2024, 2023. 3. Filus, K., and J. Domańska, "NetSat: Network Saturation Adversarial Attack", IEEE International Conference on Big Data (IEEE BigData 2023), Sorrento, Italy, 2023. 4. Halama, M., K. Filus, and J. Domańska, "Robust category recognition based on deep templates for educational mobile applications", 2023 IEEE International Conference on Big Data, Sorrento, Italy, IEEE International Conference on Big Data, 01/2024, 2023. 5. Kelesoglu, N., K. Filus, and J. Domańska, "HierAct: a Hierarchical Model for Human Activity Recognition in Game-Like Educational Applications", 2023 IEEE International Conference on Big Data, Sorrento, Italy , IEEE, 01/2024, 2023. 6. Filus, K., and J. Domańska, "Recycling of Generic ImageNet-trained Models for Smart-city Applications", The 10th IEEE International Conference on Data Science and Advanced Analytics (DSAA), Thessaloniki, Greece, IEEE, 2023. 7. Filus, K., and J. Domańska, "Global Entropy Pooling Layer for Convolutional Neural Networks", Neurocomputing, vol. 555, 2023. 8. Filus, K., and J. Domańska, "Software Vulnerabilities in TensorFlow-Based Deep Learning Applications", Computers & Security, vol. 124, 10/2022, 2023. 2022 9. Marek, D., J. Szyguła, A. Domański, J. Domańska, K. Filus, and M. Szczygieł, "Adaptive Hurst-Sensitive Active Queue Management", Entropy, vol. 24, issue 3, 2022. 10. Marantos, C., M. Siavvas, D. Tsoukalas, C. P. Lamprakos, L. Papadopoulos, P. Boryszko, K. Filus, J. Domańska, A. Ampatzoglou, A. Chatzigeorgiou, et al., "SDK4ED: One-click platform for Energy-aware, Maintainable and Dependable Applications", 25th Design, Automation and Test in Europe Conference, Belgium, 03/2022. 11. Filus, K., S. Nowak, J. Domańska, and J. Duda, "Cost-Effective Filtering of Unreliable Proximity Detection Results Based on BLE RSSI and IMU Readings Using Smartphones", Scientific Reports, vol. 12, issue 1, 2022. 12. Filus, K., and J. Domańska, "NAM: What Does a Neural Network See?", International Joint Conference on Neural Networks (IJCNN 2022), IEEE WCCI 2022, Padova, 18-23 July, 2022, IEEE, 2022. 13. Sobczak, Ł., K. Filus, J. Domańska, and A. Domański, "Finding the best hardware configuration for 2D SLAM in indoor environments via simulation based on Google Cartographer", Scientific Reports, vol. 12, 2022. 14. Sobczak, Ł., K. Filus, J. Domańska, and A. Domański, "Building a real-time testing platform for unmanned ground vehicles with UDP Bridge", Sensors, vol. 22, issue 21, 2022. 15. Filus, K., Ł. Sobczak, J. Domańska, A. Domański, and R. Cupek, "Real-time testing of vision-based systems for AGVs with ArUco markers", IEEE International Conference on Big Data, Osaka, 17-20 December, 2022, IEEE, 2022. 16. Marek, D., A. Domański, J. Domańska, J. Szyguła, T. Czachórski, J. Klamka, and K. Filus, "Approximation Models for the Evaluation of TCP/AQM Networks", Bulletin of the Polish Academy of Sciences, Technical Sciences (BPASTS), vol. 70, issue 4, 2022. 2021 17. Filus, K., P. Boryszko, J. Domańska, M. Siavvas, and E. Gelenbe, "Efficient Feature Selection for Static Analysis Vulnerability Prediction", Sensors, vol. 21 (4), issue Special Issue: Security and Privacy in Software Based Critical Contexts, 2021. (1.37 MB) 18. Szyguła, J., A. Domański, J. Domańska, T. Czachórski, J. Klamka, and D. Marek, "The IoT Gateway with Active Queue Management", International Journal of Applied Mathematics and Computer Science (AMCS), vol. 31, issue 1, 2021. 19. Marek, D., A. Domański, J. Domańska, T. Czachórski, J. Klamka, and J. Szyguła, "Combined diffusion approximation - simulation model of AQM’s transient behaviour", Computer Communications, vol. 166, 01/2021. (3.58 MB) 20. Filus, K., M. Siavvas, J. Domańska, and E. Gelenbe, "The Random Neural Network as a Bonding Model for Software Vulnerability Prediction", Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, vol. 12527: Springer International Publishing, pp. 102-116, 2021. (690.95 KB) 21. Filus, K., J. Domańska, and E. Gelenbe, "Random Neural Network for Lightweight Attack Detection in the IoT", MASCOTS 2020: Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, vol. 12527: Springer International Publishing, pp. 79-91, 2021. (336.06 KB) 22. Marek, D., A. Domański, J. Domańska, J. Szyguła, T. Czachórski, and J. Klamka, "Diffusion model of a non-integer order PIγ controller with TCP/UDP streams", Entropy, vol. 23, 05/2021. 23. Sobczak, Ł., K. Filus, A. Domański, and J. Domańska, "LIDAR Point Cloud generation for SLAM algorithm evaluation", Sensors, vol. 21 (10), issue Special Issue: Advance in Sensors and Sensing Systems for Driving and Transportation: Part B, 2021. 24. Szyguła, J., A. Domański, J. Domańska, D. Marek, K. Filus, and S. Mendla, "Supervised learning of Neural Networks for Active Queue Management in the Internet", Sensors, vol. 21(15), issue Special Issue "Mathematical Modelling and Analysis in Sensors Networks", 2021. 2020 25. Gelenbe, E., J. Domańska, P. Fröhlich, M. Nowak, and S. Nowak, "Self-Aware Networks that Optimize Security, QoS and Energy", Proceedings of the IEEE, vol. 108, issue 7, July 2020. (5.07 MB) Strony123…następna ›ostatnia » Projektyiitis employee projects: 1. Wykorzystanie operatorów ułamkowego rzędu do sterowania przeciążeniami sieci Internet (UMO-2017/27/B/ST6/00145, 2018 - 2022) 2. Secure and Safe Internet of Things (SerIoT) (SerIoT, 2018 - 2021) 3. Software Development toolKit for Energy optimization and technical Debt elimination (SDK4ED) (SDK4ED, 2018 - 2020) 4. Metody i modele dla kontroli zatłoczenia i oceny efektywności mechanizmów jakości usług w Internecie następnej generacji (N517 025 31/2997, 2006 - 2008)