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2020 – today
- 2024
[j3]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)- [c18]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
- [c17]Abdüsselam Koç, Özlem Albayrak, Yasar Kurt, Perin Ünal:
A Study to Compare YOLO Family Models for Metal Surface Anomaly Detection. IEEE Big Data 2023: 5835-5841 - [c16]Perin Ünal, Seyithan Temel, Emre Ummak, Ahmet Murat Özbayoglu:
Condition Monitoring and Remaining Useful Life Prediction for Tool Wear in CNC Machines. FiCloud 2023: 264-269 - [c15]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
- [c14]Seyithan Temel, Emre Ummak, Abdülkadir Tokgöz, Furkan Isik, Özlem Albayrak, Perin Ünal, A. Murat Özbayoglu:
Control System Design and Implementation Based on Big Data and Ontology. IEEE Big Data 2022: 6048-6056 - [c13]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 - [c12]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 - [c11]Fatih Yalliç, Özlem Albayrak, Perin Ünal:
Asset Administration Shell Generation and Usage for Digital Twins: A Case Study for Non-destructive Testing. IN4PL 2022: 299-306 - [c10]Perin Ünal, Bilgin Umut Deveci, Ahmet Murat Özbayoglu:
A Review: Sensors Used in Tool Wear Monitoring and Prediction. MobiWIS 2022: 193-205 - [p1]Perin Ünal, Özlem Albayrak, Moez Jomâa, Arne J. Berre:
Data-Driven Artificial Intelligence and Predictive Analytics for the Maintenance of Industrial Machinery with Hybrid and Cognitive Digital Twins. Technologies and Applications for Big Data Value 2022: 299-319 - 2021
- [j2]Sahan Yoruç Selçuk, Perin Ünal, Özlem Albayrak, Moez Jomâa:
A Workflow for Synthetic Data Generation and Predictive Maintenance for Vibration Data. Inf. 12(10): 386 (2021) - [c9]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 - [c8]Baris Güney Özdilli, Mustafa Bora Arslan, Tilbe Alp, Özlem Albayrak, Perin Ünal, Özlem Bozkurt, A. Murat Özbayoglu:
Performance Analysis of Machine Learning Models for Object Recognition in Underwater Video Images. SIU 2021: 1-4 - [e2]Muhammad Younas, Irfan Awan, Perin Ünal:
8th International Conference on Future Internet of Things and Cloud, FiCloud 2021, Rome, Italy, August 23-25, 2021. IEEE 2021, ISBN 978-1-6654-2574-2 [contents]
2010 – 2019
- 2019
- [c7]Perin Ünal:
Reference Architectures and Standards for the Internet of Things and Big Data in Smart Manufacturing. FiCloud 2019: 243-250 - [e1]Irfan Awan, Muhammad Younas, Perin Ünal, Markus Aleksy:
Mobile Web and Intelligent Information Systems - 16th International Conference, MobiWIS 2019, Istanbul, Turkey, August 26-28, 2019, Proceedings. Lecture Notes in Computer Science 11673, Springer 2019, ISBN 978-3-030-27191-6 [contents] - 2018
- [c6]Perin Ünal, Yunuscan Kocak, Yunus Donmez:
A Smart Winter Service Platform and Route Planning Algorithm. FiCloud 2018: 192-196 - 2017
- [j1]Perin Ünal, Tugba Taskaya-Temizel, P. Erhan Eren:
What installed mobile applications tell about their owners and how they affect users' download behavior. Telematics Informatics 34(7): 1153-1165 (2017) - [c5]Perin Ünal, Seyma Kucukozer Cavdar, Tugba Taskaya-Temizel, P. Erhan Eren, M. Sriram Iyengar:
Exploring Behavior Change Features for Mobile Workout Applications. MobiWIS 2017: 45-53 - 2016
- [c4]Perin Ünal, Tugba Taskaya-Temizel, P. Erhan Eren:
Impact of Individual Differences on the Use of Mobile Phones and Applications. MobiWIS 2016: 379-392 - [c3]Pinar Kirci, Perin Ünal:
Personalization of Mobile Health Applications for Remote Health Monitoring. PPT@PERSUASIVE 2016: 120-125 - 2015
- [b1]Perin Ünal:
An Analysis on user profiles and usage preferences for mobile application recommendations ; Mobil uygulama tavsiyelerinde kullanıcı profilleri ve kullanım tercihlerinin analizi. Middle East Technical University, Çankaya, Ankara, Turkey, 2015 - [c2]Perin Ünal, Tugba Taskaya-Temizel, P. Erhan Eren:
A Study on User Perception of Mobile Commerce for Android and iOS Device Users. MobiWIS 2015: 63-73 - 2014
- [c1]Perin Ünal, Tugba Taskaya-Temizel, P. Erhan Eren:
An Exploratory Study on the Outcomes of Influence Strategies in Mobile Application Recommendations. BCSS@PERSUASIVE 2014: 27-40
Coauthor Index
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