Mert Nakip, PhD Email: Orcid ID: 0000-0002-6723-6494Position: assistant professorResearch groups Security, Modelling and Performance Evaluation Group Horizontal TabsPublications Biblio RSS 2021 26. 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) 27. 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) 28. 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) 29. Nakip, M., K. Karakayali, C. Güzeliş, and V. Rodoplu, "An End-to-End Trainable Feature Selection-Forecasting Architecture Targeted at the Internet of Things", IEEE Access, 2021. (4.36 MB) 30. Nakip, M., A. Helva, C. Güzeliş, and V. Rodoplu, "Subspace-Based Emulation of the Relationship Between Forecasting Error and Network Performance in Joint Forecasting-Scheduling for the Internet of Things", 7th IEEE World Forum on the Internet of Things, New Orleans, IEEE, 2021. (990.8 KB) 31. Nakip, M., C. Güzeliş, and O. Yıldız, "Recurrent Trend Predictive Neural Network for Multi-Sensor Fire Detection", IEEE Access, vol. 9, 10/2021. (1.86 MB) 2020 32. Rodoplu, V., M. Nakip, R. Qorbanian, and D. Türsel Eliiyi, "Multi-Channel Joint Forecasting-Scheduling for the Internet of Things", IEEE Access, vol. 8, 11/2021, 2020. (4.33 MB) Pages« pierwsza‹ poprzednia12
