( en | de | ru )

 

Disambiguation of "Nakip, Mert"

Author of the publication

copydeleteadd this publication to your clipboard
An End-to-End Trainable Feature Selection-Forecasting Architecture Targeted at the Internet of Things.

, , , and . IEEE Access, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Mert Erkan

Mert Eren

Mert Sahin

Mert Batur

Mert König

 

Other publications of authors with the same name

Comparative Study of Forecasting Schemes for IoT Device Traffic in Machine-to-Machine Communication., , , and . CCIOT, page 102-109. ACM, (2019)Subspace-Based Emulation of the Relationship Between Forecasting Error and Network Performance in Joint Forecasting-Scheduling for the Internet of Things., , , and . WF-IoT, page 247-252. IEEE, (2021)Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection., , and . MASCOTS, page 1-8. IEEE, (2023)DISFIDA: Distributed Self-Supervised Federated Intrusion Detection Algorithm with online learning for health Internet of Things and Internet of Vehicles., , and . Internet Things, (2024)Dynamic Positioning Interval Based On Reciprocal Forecasting Error (DPI-RFE) Algorithm for Energy-Efficient Mobile IoT Indoor Positioning., , , , and . CITS, page 1-5. IEEE, (2021)Engagement Detection with Multi-Task Training in E-Learning Environments., , , and . ICIAP (3), volume 13233 of Lecture Notes in Computer Science, page 411-422. Springer, (2022)Curse of Small Sample Size in Forecasting of the Active Cases in COVID-19 Outbreak., , and . CoRR, (2020)Measurement Based Evaluation and Mitigation of Flood Attacks on a LAN Test-Bed., , and . LCN, page 1-4. IEEE, (2023)An End-to-End Trainable Feature Selection-Forecasting Architecture Targeted at the Internet of Things., , , and . IEEE Access, (2021)Diffusion Analysis Improves Scalability of IoT Networks to Mitigate the Massive Access Problem., , , and . MASCOTS, page 1-8. IEEE, (2021)