Nakip M, Çopur O, Biyik E, Güzeliş C.  2023.  Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network. Applied Energy. 340 (887.88 KB)

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, Çopur O, Güzeliş C.  2021.  Comparative Study of Forecasting Models for COVID-19 Outbreak in Turkey. ASYU2021 .  (1.17 MB)

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, Güzeliş C, Yıldız O.  2021.  Recurrent Trend Predictive Neural Network for Multi-Sensor Fire Detection. IEEE Access. 9 (1.86 MB)

Nakip M, Asut A, Kocabıyık C, Güzeliş C.  2021.  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).  (387.52 KB)

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)