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2020 – today
- 2024
[j1]Bilgin Umut Deveci
, Mert Celtikoglu, Özlem Albayrak, Perin Ünal, Pinar Kirci:
Transfer Learning Enabled Bearing Fault Detection Methods Based on Image Representations of Single-Dimensional Signals. Inf. Syst. Frontiers 26(4): 1345-1397 (2024)- [c7]Inci Sila Kaleli, Perin Ünal, Bilgin Umut Deveci, Özlem Albayrak:
A Tool Condition Monitoring Study to Support Circular Economy. FiCloud 2024: 146-151 - [c6]Inci Sila Kaleli, Perin Ünal, Bilgin Umut Deveci, Özlem Albayrak, Ahmet Murat Özbayoglu:
A Domain-Aware Federated Learning Study for CNC Tool Wear Estimation. MobiWIS 2024: 250-265 - 2023
- [c5]Ozge Keremer, Fadil Can Malay, Bilgin Umut Deveci, Pinar Kirci, Perin Ünal:
Optimisation of a Chemical Process by Using Machine Learning Algorithms with Surrogate Modeling. MobiWIS 2023: 187-201 - 2022
- [c4]Perin Ünal, Özlem Albayrak, Meerim Kubatova, Bilgin Umut Deveci, Ege Çirakman, Ç. Ipek Koçal, A. Murat Özbayoglu:
A Big Data Application in Manufacturing Industry-Computer Vision to Detect Defects on Bearings. IEEE Big Data 2022: 6074-6083 - [c3]Bilgin Umut Deveci, Hilal Bas, Emre Ummak, Özlem Albayrak, Perin Ünal:
A Thorough Analysis and Comparison of Data Communication Protocols Used in Industry 4.0: the Case of Smart-CNC. FiCloud 2022: 199-206 - [c2]Perin Ünal, Bilgin Umut Deveci, Ahmet Murat Özbayoglu:
A Review: Sensors Used in Tool Wear Monitoring and Prediction. MobiWIS 2022: 193-205 - 2021
- [c1]Bilgin Umut Deveci, Mert Celtikoglu, Tilbe Alp, Özlem Albayrak, Perin Ünal, Pinar Kirci:
A Comparison of Deep Transfer Learning Methods on Bearing Fault Detection. FiCloud 2021: 285-292
Coauthor Index
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