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Mert Nakıp
Mert Nakıp
Other namesMert Nakip
Institute of Theoretical and Applied Informatics, Polish Academy of Sciences
Verified email at iitis.pl - Homepage
Title
Cited by
Cited by
Year
A multiscale algorithm for joint forecasting–scheduling to solve the massive access problem of IoT
V Rodoplu, M Nakıp, DT Eliiyi, C Güzeliş
IEEE Internet of Things Journal 7 (9), 8572-8589, 2020
232020
Comparative study of forecasting schemes for IoT device traffic in machine-to-machine communication
M Nakip, BC Gül, V Rodoplu, C Güzeliş
Proceedings of the 2019 4th international conference on cloud computing and …, 2019
192019
Joint forecasting-scheduling for the Internet of Things
M Nakip, V Rodoplu, C Güzeliş, DT Eliiyi
2019 ieee global conference on internet of things (gciot), 1-7, 2019
162019
Multi-channel joint forecasting-scheduling for the Internet of Things
V Rodoplu, M Nakip, R Qorbanian, DT Eliiyi
Ieee Access 8, 217324-217354, 2020
142020
Randomization of Data Generation Times Improves Performance of Predictive IoT Networks
M Nakip, E Gelenbe
102021
Diffusion Analysis Improves Scalability of IoT Networks to Mitigate the Massive Access Problem
E Gelenbe, M Nakıp, D Marek, T Czachorski
29th IEEE International Symposium on the Modeling, Analysis, and Simulation …, 2021
92021
MIRAI Botnet Attack Detection with Auto-Associative Dense Random Neural Network
M Nakip, E Gelenbe
IEEE Globecom 2021, 1-6, 2021
92021
An End-to-End Trainable Feature Selection-Forecasting Architecture Targeted at the Internet of Things
M Nakip, K Karakayali, C Güzelı̇ş, V Rodoplu
IEEE Access 9, 104011-104028, 2021
62021
Recurrent Trend Predictive Neural Network for Multi-Sensor Fire Detection
M Nakip, C Güzelíş, O Yildiz
IEEE Access 9, 84204-84216, 2021
62021
Subspace-Based Emulation of the Relationship Between Forecasting Error and Network Performance in Joint Forecasting-Scheduling for the Internet of Things
M Nakip, A Helva, C Güzelis, V Rodoplu
IEEE 7th World Forum on Internet of Things, 2021
42021
Multi-sensor fire detector based on trend predictive neural network
M Nakıp, C Güzeliş
2019 11th International Conference on Electrical and Electronics Engineering …, 2019
42019
Dynamic Automatic Forecaster Selection via Artificial Neural Network Based Emulation to Enable Massive Access for the Internet of Things
M Nakip, E Çakan, V Rodoplu, C Güzeliş
Journal of Network and Computer Applications, 103360, 2022
32022
Converting utility meters from analogue to smart based on deep learning models
HJC Barreto, İ Kurtulan, S İnci, M Nakıp, C Güzeliş
2020 Innovations in Intelligent Systems and Applications Conference (ASYU), 1-4, 2020
32020
Development of a multi-sensor fire detector based on machine learning models
M Nakıp, C Güzeliş
2019 Innovations in Intelligent Systems and Applications Conference (ASYU), 1-6, 2019
32019
Botnet Attack Detection with Incremental Online Learning
M Nakip, E Gelenbe
22022
Mitigating the Massive Access Problem in the Internet of Things
E Gelenbe, M Nakıp
22022
Engagement Detection with Multi-Task Training in E-Learning Environments
O Copur, M Nakıp, S Scardapane, J Slowack
International Conference on Image Analysis and Processing, 411-422, 2022
22022
Improving Massive Access to IoT Gateways
E Gelenbe, M Nakıp, T Czachórski
Performance Evaluation 157, 102308, 2022
12022
The IoTAC Software Security-by-Design Platform: Concept, Challenges, and Preliminary Overview
M Siavvas, E Gelenbe, D Tsoukalas, I Kalouptsoglou, M Mathioudaki, ...
2022 18th International Conference on the Design of Reliable Communication …, 2022
12022
Energy-efficient indoor positioning for mobile Internet of Things based on Artificial Intelligence
A Saylam, RO Cikmazel, N Kelesoglu, M Nakip, V Rodoplu
2021 Innovations in Intelligent Systems and Applications Conference (ASYU), 1-6, 2021
12021
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