Sertac, Kilickaya
S Kilickaya
S Kılıçkaya
Deep Learning
Artificial Intelligence
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Sertaç Kılıçkaya 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 his Ph.D. degree in Electrical and Electronics Engineering at Izmir University of Economics with specialization in embedded machine learning, and he works as a research assistant in the same department since 2019. His research interests include machine learning and embedded machine learning applications.
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Publications
(Selected Publications)
Subject
- 1 Adaptation techniques
- 1 Analog-signal acquisition
- 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 Diagnosis
- 1 Bearing fault diagnosis
- 1 Bearings
- 1 Bearings (machine parts)
- 1 Blood
- . next >
Type
Fulltext
Results 1-6 of 6 (Search time: 0.003 seconds).
| Issue Date | Title | Author(s) | |
|---|---|---|---|
| 1 | 2020 | Comparison of Different Machine Learning Techniques for the Cuffless Estimation of Blood Pressure using PPG Signals | Kilickaya, Sertac ; Guner, Aytug; Dal, Baris |
| 2 | 2023 | Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification | Kılıçkaya, Sertaç ; Ahishali, M.; Sohrab, F.; İnce, Türker ; Gabbouj, M. |
| 3 | 2022 | Improved Domain Adaptation Approach for Bearing Fault Diagnosis | İnce, Türker ; Kilickaya S. ; Eren L. ; Devecioglu O.C.; Kiranyaz S.; Gabbouj, Moncef |
| 4 | 2022 | Microcontroller-based real-time motor bearing fault detection and diagnosis using 1D convolutional neural networks | Kılıçkaya, Sertaç |
| 5 | 2019 | Pulse Transit Time Based Blood Pressure Estimation in LabVIEW Environment using Non-Contact ECG Electrodes and Pulse Sensor | Guner A.; Kilickaya S. ; Bayindir N.S. |
| 6 | 2024 | Smartphone-based Bearing Fault Diagnosis in Rotating Machinery using Audio Data and 1D Convolutional Neural Networks | Celebioglu, C.; Kilickaya, S. ; Eren, L. |
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