Cüneyt Güzeliş

2026

Nakip M.; Kelesoglu N.; Mert T.; Güzeliş C.; Self-Supervised Online Learning Algorithm for rTPNN to Reduce False Alarms in Fire Detection; Knowledge-Based Systems; 2026

2024

Nakip M.; Kelesoglu N.; Güzeliş C.; Fire Detection and Risk Assessment via Support Vector Regression with Flattening-Samples Based Augmented Regularization; Applied Soft Computing; 2024
Bulucu P.; Nakip M.; Güzeliş C.; Multi-Sensor E-Nose based on Online Transfer Learning Trend Predictive Neural Network; IEEE Access; 2024

2023

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

2022

Nakip M.; Helva A.; Güzeliş C.; Rodoplu V.; MOSAL: A Subspace Based Forecasting Algorithm for Throughput Maximization in IoT Networks; IEEE Sensors Journal; 2022
Dayı A.; Rodoplu V.; Nakip M.; Pehlivan B.; Güzeliş C.; 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); 2022
Nakip M.; Gül B.; Rodoplu V.; Güzeliş C.; Predictability of Internet of Things Traffic at the Medium Access Control Layer Against Information-Theoretic Bounds; IEEE Access; 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
Nakip M.; Çopur O.; Güzeliş C.; Comparative Study of Forecasting Models for COVID-19 Outbreak in Turkey; ASYU2021 ; 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