A Comparison of Deep Transfer Learning Methods on Bearing Fault Detection. - Bilgin Umut Deveci; Mert Celtikoglu; Tilbe Alp; Özlem Albayrak; Perin Ünal; Pinar Kirci (FiCloud, 2021)

A Big Data Application in Manufacturing Industry-Computer Vision to Detect Defects on Bearings. - Perin Ünal; Özlem Albayrak; Meerim Kubatova; Bilgin Umut Deveci; Ege Çirakman; Ç. Ipek Koçal; A. Murat Özbayoglu (IEEE Big Data, 2022)

A Thorough Analysis and Comparison of Data Communication Protocols Used in Industry 4.0: the Case of Smart-CNC. - Bilgin Umut Deveci; Hilal Bas; Emre Ummak; Özlem Albayrak; Perin Ünal (FiCloud, 2022)

A Review: Sensors Used in Tool Wear Monitoring and Prediction. - Perin Ünal; Bilgin Umut Deveci; Ahmet Murat Özbayoglu (MobiWIS, 2022)

Optimisation of a Chemical Process by Using Machine Learning Algorithms with Surrogate Modeling. - Ozge Keremer; Fadil Can Malay; Bilgin Umut Deveci; Pinar Kirci; Perin Ünal (MobiWIS, 2023)

A Tool Condition Monitoring Study to Support Circular Economy. - Inci Sila Kaleli; Perin Ünal; Bilgin Umut Deveci; Özlem Albayrak (FiCloud, 2024)

A Domain-Aware Federated Learning Study for CNC Tool Wear Estimation. - Inci Sila Kaleli; Perin Ünal; Bilgin Umut Deveci; Özlem Albayrak; Ahmet Murat Özbayoglu (MobiWIS, 2024)

Transfer Learning Enabled Bearing Fault Detection Methods Based on Image Representations of Single-Dimensional Signals. - Bilgin Umut Deveci; Mert Celtikoglu; Özlem Albayrak; Perin Ünal; Pinar Kirci (Inf. Syst. Frontiers, 2024)