Publikacje

Found 9 results
Filters: Autor is Mert Nakip and Keyword is Forecasting  [Clear All Filters]
2023
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)
2022
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.
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
2021
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)
Saylam A, Cikmazel ROrhan, Kelesoglu N, Nakip M, Rodoplu V.  2021.  Energy-Efficient Indoor Positioning for Mobile Internet of Things Based on Artificial Intelligence. ASYU2021 .  (1.79 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)
2020
Rodoplu V, Nakip M, Qorbanian R, Eliiyi DTürsel.  2020.  Multi-Channel Joint Forecasting-Scheduling for the Internet of Things. IEEE Access. 8 (4.33 MB)