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Publikacje

2022

1. Czachórski, T., E. Gelenbe, G. Suila Kuaban, and D. Marek, "Optimizing Energy Usage for an Electric Drone", Seminar of Security by Design IoT Development and Certificate Framework with Frontend Access Control (IOTAC), CCIS 1596, Nice, Springer, Cham, 2022.  (330.85 KB)

2021

3. Fröhlich, P., E. Gelenbe, and M. Nowak, "Reinforcement Learning and Energy-Aware Routing", ACM 4th FlexNets'21 Workshop, ACM SIGCOMM 2021: ACM, 2021.
4. 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)
5. Gelenbe, E., "NOBEL PRIZE 50 YEARS AGO", Europhysics News , vol. 52, issue 5, 2021.  (334.02 KB)
6. 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)
7. 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)
8. Czachórski, T., E. Gelenbe, G. Suila Kuaban, and D. Marek, "Time-Dependent Performance of a Multi-Hop Software Defined Network", Applied Sciences, vol. 11, issue 2469, 03/2021.  (1.25 MB)
10. Gelenbe, E., and M. Siavvas, "Minimizing Energy and Computation in Long-Running Software", Applied Sciences, vol. 11, issue 3, 2021.  (853.84 KB)
12. Nakip, M., and E. Gelenbe, "Randomization of Data Generation Times Improves Performance of Predictive IoT Networks", 7th IEEE World Forum on the Internet of Things, New Orleans, Louisiana, USA, IEEE, 2021.  (968.83 KB)
13. Gelenbe, E., "Renforcer la place des universités européennes dans le concert mondial", Revue des Electriciens et Electroniciens, vol. 2, 2021.  (2.09 MB)
14. Li, N., X. Hu, E. Ngai, and E. Gelenbe, "Cooperative Wireless Edges with Composite Resource Allocation in Hierarchical Networks", 2020 IEEE International Conference on E-health Networking, Application & Services (HEALTHCOM): IEEE, 2021.  (343.95 KB)
16. Larhammar, D., M. Baghramian, P. Bianucci, G. Brod, D. Dobiáš, E. Gelenbe, R. Bil Kunelius, S. Leonardi, S. Lewandowsky, M. Oosterwege Samenweten, et al., "Fact or Fake? Tackling Science Disinformation", ALLEA General Assembly Paper, Berlin, ALLEA - All European Academies, pp. paper 5, 2021.  (2.37 MB)

2020

17. Fröhlich, P., E. Gelenbe, and M. Nowak, "Smart SDN Management of Fog Services", Global IoT Summit (GIOTS) 2020, Dublin, Ireland, IEEE, June 2020.  (256.06 KB)
18. Du, J., E. Gelenbe, C. Jiang, Z. Han, and Y. Ren, "Auction-Based Data Transaction in Mobile Networks: Data Allocation Design and Performance Analysis", IEEE Transactions on Mobile Computing, vol. 19, issue 5, 05/2020.  (432.73 KB)
20. Czachórski, T., E. Gelenbe, and D. Marek, "Software Defined Network Dynamics via Diffusions", 28th International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS 2020, revised delected papers, Computer Communication Networks and Telecommunications, LNCS, vol. 12527, on-line, Springer International Publishing, 12/2020.  (447.84 KB)
21. Gelenbe, E., and Y. Zhang, "Sharing Energy for Optimal Edge Performance", SOFSEM 2020: Theory and Practice of Computer Science, Chatzigeorgiou A. et al., no. Lecture Notes in Computer Science, vol 12011, Cham, Springer, 2020.  (342.1 KB)
22. Czachórski, T., E. Gelenbe, G. Suila Kuaban, and D. Marek, "Time Dependent Diffusion Model for Security Driven Software Defined Networks", The Second International Workshop on Stochastic Modeling and Applied Research of Technology (SMARTY 2020), vol. 2792, pp. pp. 38-56, 2020.  (2.29 MB)
23. Czachórski, T., E. Gelenbe, G. Suila Kuaban, and D. Marek, "Transient Behaviour of a Network Router", 43th International Conference on Telecommunications and Signal Processing, Milano, Italy, IEEE, 2020.  (712.6 KB)
24. Fröhlich, P., and E. Gelenbe, "Optimal fog services placement in SDN IoT network using Random Neural Networks and Cognitive Network Map", The 19th International Conference on Artificial Intelligence and Soft Computing, Zakopane, Springer, 06/2020.  (623.07 KB)

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