| Anomaly monitoring improves remaining useful life estimation of industrial machinery G Aydemir, B Acar Journal of Manufacturing Systems 56, 463-469, 2020 | 62 | 2020 |
| Image-based prognostics using deep learning approach G Aydemir, K Paynabar IEEE Transactions on Industrial Informatics 16 (9), 5956-5964, 2019 | 38 | 2019 |
| Deep learning based spectrum compression algorithm for rotating machinery condition monitoring G Aydemir Smart Materials, Adaptive Structures and Intelligent Systems 51944, V001T03A027, 2018 | 3 | 2018 |
| Ensemble of lstm networks for fault detection, classification, and root cause identification in quality control line G Aydemir, A Avcı, M Kocakulak, T Bekiryazıcı PHM Society European Conference 6 (1), 6-6, 2021 | 2 | 2021 |
| Robust Feature Learning for Remaining Useful Life Estimation Using Siamese Neural Networks G Aydemir, K Paynabar, B Acar 2022 30th European Signal Processing Conference (EUSIPCO), 1432-1436, 2022 | 1 | 2022 |
| Driver Drowsiness Detection using MobileNets and Long Short-term Memory G Aydemir, O Kurnaz, T Bekiryazıcı, A Avcı, M Kocakulak 2021 13th International Conference on Electrical and Electronics Engineering …, 2021 | 1 | 2021 |
| Konuşma İşaretlerinin Derin Evrişimsel Oto Kodlayıcı ve Artık Vektör Nicemleme Tabanlı Sıkıştırılması T Bekiryazıcı, G Aydemir, H Gürkan Mühendislik Bilimleri ve Araştırmaları Dergisi 6 (1), 113-124, 2024 | | 2024 |
| Compression of ECG Signals Using Long Short-Term Memory based Sequence-to-Sequence Autoencoder G Aydemır, T Bekıryazici, H Gürkan 2020 28th Signal Processing and Communications Applications Conference (SIU …, 2020 | | 2020 |
Burak AcarProfessor of Electrical & Electronics Eng., Bogazici UniversityDirección de correo verificada de boun.edu.tr
