Omer Faruk BEYCA
Omer Faruk BEYCA
Associate Professor
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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
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
Third party logistics (3PL) provider selection with AHP application
ÖF Gürcan, İ Yazıcı, ÖF Beyca, ÇY Arslan, F Eldemir
Procedia-Social and Behavioral Sciences 235, 226-234, 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
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
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
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
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
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
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
Fuel consumption models applied to automobiles using real-time data: A comparison of statistical models
AG Çapraz, P Özel, M Şevkli, ÖF Beyca
Procedia Computer Science 83, 774-781, 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
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
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
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
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
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
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
Demand forecasting with integration of time series and regression models in pharmaceutical industry
International Journal of Advances in Engineering and Pure Sciences 34 (3 …, 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
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