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2. Gelenbe, E., and M. Nakip, "G-Networks Can Detect Different Types of Cyberattacks", 2022 Mascots: 30th International Symposium on the Modelling, Analysis and Simulation of Computer and Telecommunication Systems, Nice, France, IEEE, 2022.  (1.51 MB)
3. Dayı, A. Kerem, V. Rodoplu, M. Nakip, B. Pehlivan, and C. Güzeliş, "Multi-Channel Subset Iteration with Minimal Loss in Available Capacity (MC-SIMLAC) Algorithm for Joint Forecasting-Scheduling in the Internet of Things", Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA), vol. 13, issue 2, 06/2022.
4. Gelenbe, E., M. Nakip, and T. Czachórski, "Improving Massive Access to IoT Gateways", Performance Evaluation, 08/2022.
6. Siavvas, M., E. Gelenbe, D. Tsoukalas, I. Kalouptsoglou, M. Mathioudaki, M. Nakip, D. Kehagias, and D. Tzovaras, "The IoTAC Software Security-by-Design Platform: Concept, Challenges, and Preliminary Overview", 18th International Conference on the Design of Reliable Communication Networks (DRCN), Vilanova i la Geltrú, Spain, IEEE, 2022.  (1.33 MB)
7. Nakip, M., and E. Gelenbe, "Botnet Attack Detection with Incremental Online Learning", EuroCybersec 2021, Nice, France, Springer, 2022.
9. Çopur, O., M. Nakip, S. Scardapane, and J. Slowack, "Engagement Detection with Multi-Task Training in E-Learning Environments", International Conference on Image Analysis and Processing (ICIAP): Springer, 2022.  (1.2 MB)


11. Nakip, M., A. Asut, C. Kocabıyık, and C. Güzeliş, "A Smart Home Demand Response System based on Artificial Neural Networks Augmented with Constraint Satisfaction Heuristic", 13th INTERNATIONAL CONFERENCE on ELECTRICAL and ELECTRONICS ENGINEERING (ELECO), Bursa, Turkey, IEEE, 2021.  (387.52 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. Saylam, A., N. Kelesoglu, R. Orhan Cikmazel, M. Nakip, and V. Rodoplu, "Dynamic Positioning Interval Based On Reciprocal Forecasting Error (DPI-RFE) Algorithm for Energy-Efficient Mobile IoT Indoor Positioning", International Conference on Computer, Information and Telecommunication Systems (CITS), Istanbul, Turkey, IEEE, 2021.  (364.76 KB)
16. Gelenbe, E., M. Nakip, D. Marek, and T. Czachórski, "Diffusion Analysis Improves Scalability of IoTNetworks to Mitigate the Massive Access Problem", 2021 Mascots: 29th International Symposium on the Modelling, Analysis and Simulation of Computer and Telecommunication Systems, Houston, Texas, USA, IEEE, 11/2021.  (1.99 MB)
17. Nakip, M., and E. Gelenbe, "MIRAI Botnet Attack Detection with Auto-Associative Dense Random Neural Network", 2021 IEEE Global Communications Conference, Barcelona, IEEE, 7-11 Dec 2021.  (857.52 KB)
18. Çakan, E., A. Şahin, M. Nakip, and V. Rodoplu, "Multi-Layer Perceptron Decomposition Architecture for Mobile IoT Indoor Positioning", 7th IEEE World Forum on the Internet of Things: IEEE, 2021.  (262.85 KB)