| Time series forecasting for nonlinear and non-stationary processes: a review and comparative study C Cheng, A Sa-Ngasoongsong, O Beyca, T Le, H Yang, Z Kong, ... Iie Transactions 47 (10), 1053-1071, 2015 | 233 | 2015 |
| Using machine learning tools for forecasting natural gas consumption in the province of Istanbul OF Beyca, BC Ervural, E Tatoglu, PG Ozuyar, S Zaim Energy Economics 80, 937-949, 2019 | 157 | 2019 |
| Third party logistics (3PL) provider selection with AHP application ÖF Gürcan, Ý Yazýcý, ÖF Beyca, ÇY Arslan, F Eldemir Procedia-Social and Behavioral Sciences 235, 226-234, 2016 | 106 | 2016 |
| Model estimation of ARMA using genetic algorithms: A case study of forecasting natural gas consumption BC Ervural, OF Beyca, S Zaim Procedia-Social and Behavioral Sciences 235, 537-545, 2016 | 96 | 2016 |
| Real-time identification of incipient surface morphology variations in ultraprecision machining process P Rao, S Bukkapatnam, O Beyca, Z Kong, R Komanduri Journal of Manufacturing Science and Engineering 136 (2), 021008, 2014 | 70 | 2014 |
| Deep-learning-based short-term electricity load forecasting: A real case application I Yazici, OF Beyca, D Delen Engineering Applications of Artificial Intelligence 109, 104645, 2022 | 61 | 2022 |
| A graph-theoretic approach for quantification of surface morphology variation and its application to chemical mechanical planarization process PK Rao, OF Beyca, Z Kong, STS Bukkapatnam, KE Case, R Komanduri IIE Transactions 47 (10), 1088-1111, 2015 | 58 | 2015 |
| Heterogeneous sensor data fusion approach for real-time monitoring in ultraprecision machining (UPM) process using non-parametric Bayesian clustering and evidence theory OF Beyca, PK Rao, Z Kong, STS Bukkapatnam, R Komanduri IEEE Transactions on Automation Science and Engineering 13 (2), 1033-1044, 2015 | 55 | 2015 |
| Process performance prediction for chemical mechanical planarization (CMP) by integration of nonlinear Bayesian analysis and statistical modeling Z Kong, A Oztekin, OF Beyca, U Phatak, STS Bukkapatnam, R Komanduri IEEE Transactions on Semiconductor Manufacturing 23 (2), 316-327, 2010 | 52 | 2010 |
| Process-machine interaction (PMI) modeling and monitoring of chemical mechanical planarization (CMP) process using wireless vibration sensors PK Rao, MB Bhushan, STS Bukkapatnam, Z Kong, S Byalal, OF Beyca, ... IEEE Transactions on Semiconductor Manufacturing 27 (1), 1-15, 2013 | 36 | 2013 |
| Fuel consumption models applied to automobiles using real-time data: A comparison of statistical models AG Çapraz, P Özel, M Þevkli, ÖF Beyca Procedia Computer Science 83, 774-781, 2016 | 35 | 2016 |
| Nonlinear sequential Bayesian analysis-based decision making for end-point detection of chemical mechanical planarization (CMP) processes Z Kong, O Beyca, ST Bukkapatnam, R Komanduri IEEE transactions on semiconductor manufacturing 24 (4), 523-532, 2011 | 33 | 2011 |
| Dirichlet process Gaussian mixture models for real-time monitoring and their application to chemical mechanical planarization JP Liu, OF Beyca, PK Rao, ZJ Kong, STS Bukkapatnam IEEE Transactions on Automation Science and Engineering 14 (1), 208-221, 2016 | 32 | 2016 |
| A comparative analysis of machine learning techniques and fuzzy analytic hierarchy process to determine the tacit knowledge criteria I Yazici, OF Beyca, OF Gurcan, H Zaim, D Delen, S Zaim Annals of Operations Research, 1-24, 2022 | 26 | 2022 |
| An integrated machine learning: Utility theory framework for real-time predictive maintenance in pumping systems RM Khorsheed, OF Beyca Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2021 | 23 | 2021 |
| Additive manufacturing technologies and applications A Ustundag, E Cevikcan, OF Beyca, G Hancerliogullari, I Yazici Industry 4.0: Managing The Digital Transformation, 217-234, 2018 | 20 | 2018 |
| A Comprehensive Study of Machine Learning Methods on Diabetic Retinopathy Classification. OF Gurcan, ÖF Beyca, O Dogan Int. J. Comput. Intell. Syst. 14 (1), 1132-1141, 2021 | 19 | 2021 |
| Quantification of ultraprecision surface morphology using an algebraic graph theoretic approach P Rao, S Bukkapatnam, Z Kong, O Beyca, K Case, R Komanduri Procedia Manufacturing 1, 12-26, 2015 | 13 | 2015 |
| Demand forecasting with integration of time series and regression models in pharmaceutical industry S ÝMECE, ÖF BEYCA International Journal of Advances in Engineering and Pure Sciences 34 (3 …, 2022 | 9 | 2022 |
| Short term electricity load forecasting with a nonlinear autoregressive neural network with exogenous variables (NarxNet) I Yazici, L Temizer, OF Beyca Industrial Engineering in the Big Data Era: Selected Papers from the Global …, 2019 | 7 | 2019 |
Satish T.S. BukkapatnamTexas A&M UniversityVerified email at tamu.edu
