Omer Faruk BEYCA
Omer Faruk BEYCA
Assistant 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
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
Real-time identification of incipient surface morphology variations in ultraprecision machining process
P Rao, S Bukkapatnam, O Beyca, ZJ Kong, R Komanduri
Journal of Manufacturing Science and Engineering 136 (2), 2014
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
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
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
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
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-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
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
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
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
Additive manufacturing technologies and applications
OF Beyca, G Hancerliogullari, I Yazici
Industry 4.0: Managing The Digital Transformation, 217-234, 2018
Sensor based real-time process monitoring for ultra-precision manufacturing processes with non-linearity and non-stationarity
OF Beyca
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, 2020
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, 259-270, 2019
Forecasting Intermittent Demand Using the Cox Process.
GO Kaya, OF Demirel, OF Beyca
Journal of Multiple-Valued Logic & Soft Computing 31, 2018
Clustering Techniques Within Service Sector
İ Yazici, ÖF Beyca, S Zaim
Applying Predictive Analytics Within the Service Sector, 74-87, 2017
On the identification of physical sources of vibration sensor signal patterns in chemical mechanical planarization process
R Komanduri, P Rao, P Vinod, O Beyca, S Jagannath, A Fields, Z Kong, ...
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