Fuel Consumption Models Applied to Automobiles Using Real-time Data: A Comparison of Statistical Models. - Ahmet Gürcan Çapraz; Pinar Özel; Mehmet Sevkli; Ömer Faruk Beyca (ANT/SEIT, 2016)

Heterogeneous Sensor Data Fusion Approach for Real-time Monitoring in Ultraprecision Machining (UPM) Process Using Non-Parametric Bayesian Clustering and Evidence Theory. - Ömer Faruk Beyca; Prahalad K. Rao; Zhenyu James Kong; Satish T. S. Bukkapatnam; Ranga Komanduri (IEEE Trans Autom. Sci. Eng., 2016)

Dirichlet Process Gaussian Mixture Models for Real-Time Monitoring and Their Application to Chemical Mechanical Planarization. - Jia Peter Liu; Ömer Faruk Beyca; Prahalad K. Rao; Zhenyu James Kong; Satish T. S. Bukkapatnam (IEEE Trans Autom. Sci. Eng., 2017)

Forecasting Intermittent Demand Using the Cox Process. - Gamze Ogcu Kaya; Omer Fahrettin Demirel; Ömer Faruk Beyca (J. Multiple Valued Log. Soft Comput., 2018)

A Comprehensive Study of Machine Learning Methods on Diabetic Retinopathy Classification. - Omer Faruk Gurcan; Ömer Faruk Beyca; Onur Dogan 001 (Int. J. Comput. Intell. Syst., 2021)

A comparative analysis of machine learning techniques and fuzzy analytic hierarchy process to determine the tacit knowledge criteria. - Ibrahim Yazici; Ömer Faruk Beyca; Omer Faruk Gurcan; Halil Zaim; Dursun Delen; Selim Zaim (Ann. Oper. Res., 2022)

Deep-learning-based short-term electricity load forecasting: A real case application. - Ibrahim Yazici; Ömer Faruk Beyca; Dursun Delen (Eng. Appl. Artif. Intell., 2022)

Diabetic Retinopathy Diagnosis with Image Processing. - Mehmet Alper Sahin; Ömer Faruk Beyca (SIU, 2024)