Nakip M, Çakan E, Rodoplu V, Güzeliş C.  2022.  Dynamic Automatic Forecaster Selection via Artificial Neural Network Based Emulation to Enable Massive Access for the Internet of Things. Journal of Network and Computer Applications (JNCA).  (1.36 MB)

Gelenbe E, Nakip M, Marek D, Czachórski T.  2021.  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.  (1.99 MB)

Saylam A, Kelesoglu N, Cikmazel ROrhan, Nakip M, Rodoplu V.  2021.  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).  (364.76 KB)

Nakip M, Karakayali K, Güzeliş C, Rodoplu V.  2021.  An End-to-End Trainable Feature Selection-Forecasting Architecture Targeted at the Internet of Things. IEEE Access.  (4.36 MB)

Çakan E, Şahin A, Nakip M, Rodoplu V.  2021.  Multi-Layer Perceptron Decomposition Architecture for Mobile IoT Indoor Positioning. 7th IEEE World Forum on the Internet of Things.  (262.85 KB)

Kuaban GSuila, Atmaca T, Kamli A, Czachórski T, Czekalski P.  2021.  Performance Analysis of Packet Aggregation Mechanisms and Their Applications in Access (e.g., IoT, 4G/5G), Core, and Data Centre Networks. Sensors. 21(3898) (1.75 MB)

Nakip M, Helva A, Güzeliş C, Rodoplu V.  2021.  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.  (990.8 KB)