Mert Nakip

2022

Nakip M.; Çakan E.; Rodoplu V.; Güzeliş C.; 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); 2022

2021

Nakip M.; Asut A.; Kocabıyık C.; Güzeliş C.; 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); 2021
Saylam A.; Kelesoglu N.; Cikmazel R.; Nakip M.; Rodoplu V.; Dynamic Positioning Interval Based On Reciprocal Forecasting Error (DPI-RFE) Algorithm for Energy-Efficient Mobile IoT Indoor Positioning; International Conference on Computer, Information and Telecommunication Systems (CITS); 2021
Nakip M.; Çopur O.; Güzeliş C.; Comparative Study of Forecasting Models for COVID-19 Outbreak in Turkey; ASYU2021 ; 2021
Saylam A.; Cikmazel R.; Kelesoglu N.; Nakip M.; Rodoplu V.; Energy-Efficient Indoor Positioning for Mobile Internet of Things Based on Artificial Intelligence; ASYU2021 ; 2021
Gelenbe E.; Nakip M.; Marek D.; Czachórski T.; Diffusion Analysis Improves Scalability of IoTNetworks to Mitigate the Massive Access Problem; 2021 Mascots: 29th International Symposium on the Modelling, Analysis and Simulation of Computer and Telecommunication Systems; 2021
Nakip M.; Gelenbe E.; MIRAI Botnet Attack Detection with Auto-Associative Dense Random Neural Network; 2021 IEEE Global Communications Conference; 2021
Çakan E.; Şahin A.; Nakip M.; Rodoplu V.; Multi-Layer Perceptron Decomposition Architecture for Mobile IoT Indoor Positioning; 7th IEEE World Forum on the Internet of Things; 2021
Nakip M.; Karakayali K.; Güzeliş C.; Rodoplu V.; An End-to-End Trainable Feature Selection-Forecasting Architecture Targeted at the Internet of Things; IEEE Access; 2021
Nakip M.; Helva A.; Güzeliş C.; Rodoplu V.; 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; 2021
Nakip M.; Güzeliş C.; Yıldız O.; Recurrent Trend Predictive Neural Network for Multi-Sensor Fire Detection; IEEE Access; 2021
Nakip M.; Gelenbe E.; Randomization of Data Generation Times Improves Performance of Predictive IoT Networks; 7th IEEE World Forum on the Internet of Things; 2021

2020

Rodoplu V.; Nakip M.; Qorbanian R.; Eliiyi D.; Multi-Channel Joint Forecasting-Scheduling for the Internet of Things; IEEE Access; 2020