Sertac, Kilickaya
S Kilickaya
S Kılıçkaya
Deep Learning
Artificial Intelligence
Signal Processing
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Sertac Kilickaya received his B.S. and M.S. degrees in Electrical and Electronics Engineering from Izmir University of Economics in 2018 and 2022, respectively, as the class valedictorian. He is currently pursuing a Ph.D. in Electrical and Electronics Engineering at the same university, where he has also been working as a research assistant since 2019. In 2024, he was a visiting researcher in the Signal Analysis and Machine Intelligence (SAMI) research group at Tampere University, under the supervision of Prof. Moncef Gabbouj. His research focuses on machine learning, mainly applied to condition monitoring and fault diagnosis in electrical machines, as well as other areas of signal processing.
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Subject
- 2 Convolutional Neural Networks
- 1 Acoustic Monitoring
- 1 Adaptation techniques
- 1 Analog-signal acquisition
- 1 Anomaly Detection
- 1 artificial neural networks
- 1 Arıza tespiti
- 1 Asynchronous machinery; Audio recordings; Convolutional neural networks; Roller bearings; Rollers (machine components); Smartphones; Condition-based monitoring; Convolutional neural network; Embedded machine learning; Embedded machines; Machine-learning; Rolling Element Bearing; Smart phones; Cost effectiveness
- 1 Bearing Fault Detection
- 1 Bearing Fault Diagnosis
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