O. Beyca

发表

Real-Time Identification of Incipient Surface Morphology Variations in Ultraprecision Machining Process

R. Komanduri, Prahalada K. Rao, S. Bukkapatnam, 2014 .

Quantification of Ultraprecision Surface Morphology using an Algebraic Graph Theoretic Approach

K. E. Case, R. Komanduri, Prahalada K. Rao, 2015 .

Third Party Logistics (3PL) Provider Selection with AHP Application

O. Beyca, O. F. Gurcan, Ibrahim Yazici, 2016 .

A Customer Satisfaction Study in an Airline Company Centered in Turkey

O. Beyca, S. Zaim, O. F. Gurcan, 2019, Lecture Notes in Management and Industrial Engineering.

A comparative analysis of machine learning techniques and fuzzy analytic hierarchy process to determine the tacit knowledge criteria

D. Delen, O. Beyca, S. Zaim, 2020, Annals of Operations Research.

Clustering Techniques Within Service Sector

Selim Zaim, Ibrahim Yazici, Omer Faruk Beyca, 2017 .

A graph-theoretic approach for quantification of surface morphology variation and its application to chemical mechanical planarization process

Satish T. S. Bukkapatnam, Ranga Komanduri, Zhenyu Kong, 2015 .

Time series forecasting for nonlinear and non-stationary processes: a review and comparative study

Satish T. S. Bukkapatnam, Zhenyu Kong, Trung Q. Le, 2015 .

Using machine learning tools for forecasting natural gas consumption in the province of Istanbul

Beyzanur Cayir Ervural, Selim Zaim, Ekrem Tatoglu, 2019, Energy Economics.

An integrated machine learning: Utility theory framework for real-time predictive maintenance in pumping systems

Omer Faruk Beyca, Raghad M Khorsheed, O. Beyca, 2020 .

Additive Manufacturing Technologies and Applications

Gulsah Hancerliogullari, Ibrahim Yazici, Omer Faruk Beyca, 2018 .

Nonlinear Sequential Bayesian Analysis-Based Decision Making for End-Point Detection of Chemical Mechanical Planarization (CMP) Processes

R. Komanduri, Zhenyu Kong, O. Beyca, 2011, IEEE Transactions on Semiconductor Manufacturing.

Process Performance Prediction for Chemical Mechanical Planarization (CMP) by Integration of Nonlinear Bayesian Analysis and Statistical Modeling

Ranga Komanduri, Asil Oztekin, Zhenyu Kong, 2010, IEEE Transactions on Semiconductor Manufacturing.

Process-Machine Interaction (PMI) Modeling and Monitoring of Chemical Mechanical Planarization (CMP) Process Using Wireless Vibration Sensors

Ranga Komanduri, Satish T. S. Bukkapatnam, Prahalad K. Rao, 2014, IEEE Transactions on Semiconductor Manufacturing.

Short Term Electricity Load Forecasting with a Nonlinear Autoregressive Neural Network with Exogenous Variables (NarxNet)

Leyla Temizer, Ibrahim Yazici, Omer Faruk Beyca, 2019, Lecture Notes in Management and Industrial Engineering.

Model Estimation of ARMA Using Genetic Algorithms: A Case Study of Forecasting Natural Gas Consumption☆

Beyzanur Cayir Ervural, Selim Zaim, Omer Faruk Beyca, 2016 .

Dirichlet Process Gaussian Mixture Models for Real-Time Monitoring and Their Application to Chemical Mechanical Planarization

Satish T. S. Bukkapatnam, Zhenyu James Kong, Omer F. Beyca, 2017, IEEE Transactions on Automation Science and Engineering.

A comparative analysis of machine learning techniques and fuzzy analytic hierarchy process to determine the tacit knowledge criteria

Selim Zaim, Dursun Delen, Ibrahim Yazici, 2020, Annals of Operations Research.

Computational Fluid Dynamic Simulations In a Model of a Carotid Bifurcation Under Steady Flow Conditions

O. Beyca, G. Comert, N. Arslan, 2020, 2001.11589.