| Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition ÜÇ Büyükşahin, Ş Ertekin Neurocomputing 361, 151-163, 2019 | 357 | 2019 |
| Incentive-based resource assignment and regulation for collaborative cloud services in community networks AM Khan, ÜC Büyükşahin, F Freitag Journal of Computer and System Sciences 81 (8), 1479-1495, 2015 | 21 | 2015 |
| A Feature-based hybrid ARIMA-ANN model for univariate time series forecasting ÜÇ Büyükşahin, Ş Ertekin Journal of the Faculty of Engineering & Architecture of Gazi University 35 (1), 2020 | 19* | 2020 |
| Prototyping incentive-based resource assignment for clouds in community networks AM Khan, ÜC Büyüksahin, F Freitag 2014 IEEE 28th International Conference on Advanced Information Networking …, 2014 | 18 | 2014 |
| Towards incentive-based resource assignment and regulation in clouds for community networks AM Khan, ÜC Büyükşahin, F Freitag International Conference on Grid Economics and Business Models, 197-211, 2013 | 13 | 2013 |
| Support service for reciprocal computational resource sharing in wireless community networks ÜC Büyükşahin, AM Khan, F Freitag 2013 IEEE 14th International Symposium on" A World of Wireless, Mobile and …, 2013 | 10 | 2013 |
| Time series forecasting using empirical mode decomposition and hybrid method ÜÇ Büyüksahin, S Ertekin 2018 26th Signal Processing and Communications Applications Conference (SIU …, 2018 | 3 | 2018 |
| Time Series Prediction with Two-Level Decomposition Using Moving-Average Filter and Empirical Mode Decomposition ÜÇ Büyükşahin, Ş Ertekin Digital Transformation & Smart Systems, DTSS 2018, 2018 | 2 | 2018 |
| On incentive mechanisms for resource sharing in community clouds UC Büyüksahin PhD thesis, Universitat Politécnica de Catalunya, 2013 | 2 | 2013 |
| Prediction Model Selection with Frequency Check on Decomposed Time Series ÜÇ Büyükşahin, Ş Ertekin 2019 27th Signal Processing and Communications Applications Conference (SIU …, 2019 | 1 | 2019 |
| Univariate Time Series Prediction Leveraging Linear and Nonlinear Patterns ÜÇ Büyükşahin PQDT-Global, 2020 | | 2020 |
| Hydropower Production Prediction based on Empirical Mode Decomposition with Method Selection ÜÇ Büyükşahin, Ş ERTEKİN BOLELLİ DTSS 2019 Digital Transformation & Smart Systems, 2019 | | 2019 |
| Improving Time Series Forecasting Using ARIMA Based on Moving-Average Filter and EMD Decomposition. ÜÇ Büyükşahin, Ş ERTEKİN BOLELLİ DTSS 2018 Digital Transformation & Smart Systems, 2018 | | 2018 |
| IPv6 SALDIRI TRAFİĞİNDEN İMZA ÜRETME ÜÇBY GÖKIRMAK | | |
| Distributed Architecture for Cloud System tailored for Wireless Community Networks AM Khan, ÜC Büyüksahin, F Freitag | | |
Seyda ErtekinAssociate Professor @ ODTUVerified email at metu.edu.tr
