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)

Nakip M, Helva A, Güzeliş C, Rodoplu V.  2022.  MOSAL: A Subspace Based Forecasting Algorithm for Throughput Maximization in IoT Networks. IEEE Sensors Journal.

Dayı AKerem, Rodoplu V, Nakip M, Pehlivan B, Güzeliş C.  2022.  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). 13(2)

Nakip M, Gül BCan, Rodoplu V, Güzeliş C.  2022.  Predictability of Internet of Things Traffic at the Medium Access Control Layer Against Information-Theoretic Bounds. IEEE Access. 10

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)

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)