Ömer Faruk Beyca

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 8

Top Topics

Diabetic Retinopathy

Machine Learning

Statistical Model

Fuzzy Analytic Hierarchy Process

Top Venues

IEEE Trans Autom. Sci. Eng.

Ann. Oper. Res.

Int. J. Comput. Intell. Syst.

Publications

Mehmet Alper Sahin, Ömer Faruk Beyca
Diabetic Retinopathy Diagnosis with Image Processing. SIU (2024)
Ibrahim Yazici, Ömer Faruk Beyca, Omer Faruk Gurcan, Halil Zaim, Dursun Delen, Selim Zaim
A comparative analysis of machine learning techniques and fuzzy analytic hierarchy process to determine the tacit knowledge criteria. Ann. Oper. Res. 308 (1) (2022)
Ibrahim Yazici, Ömer Faruk Beyca, Dursun Delen
Deep-learning-based short-term electricity load forecasting: A real case application. Eng. Appl. Artif. Intell. 109 (2022)
Omer Faruk Gurcan, Ömer Faruk Beyca, Onur Dogan
A Comprehensive Study of Machine Learning Methods on Diabetic Retinopathy Classification. Int. J. Comput. Intell. Syst. 14 (1) (2021)
Gamze Ogcu Kaya, Omer Fahrettin Demirel, Ömer Faruk Beyca
Forecasting Intermittent Demand Using the Cox Process. J. Multiple Valued Log. Soft Comput. 31 (5-6) (2018)
Jia Peter Liu, Ömer Faruk Beyca, Prahalad K. Rao, Zhenyu James Kong, Satish T. S. Bukkapatnam
Dirichlet Process Gaussian Mixture Models for Real-Time Monitoring and Their Application to Chemical Mechanical Planarization. IEEE Trans Autom. Sci. Eng. 14 (1) (2017)
Ömer Faruk Beyca, Prahalad K. Rao, Zhenyu James Kong, Satish T. S. Bukkapatnam, Ranga Komanduri
Heterogeneous Sensor Data Fusion Approach for Real-time Monitoring in Ultraprecision Machining (UPM) Process Using Non-Parametric Bayesian Clustering and Evidence Theory. IEEE Trans Autom. Sci. Eng. 13 (2) (2016)
Ahmet Gürcan Çapraz, Pinar Özel, Mehmet Sevkli, Ömer Faruk Beyca
Fuel Consumption Models Applied to Automobiles Using Real-time Data: A Comparison of Statistical Models. ANT/SEIT (2016)