Özal YILDIRIM
Özal YILDIRIM
Munzur University
munzur.edu.tr üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Automated Detection of COVID-19 Cases Using Deep Neural Networks with X-ray Images
T Ozturk, M Talo, EA Yildirim, UB Baloglu, O Yildirim, UR Acharya
Computers in Biology and Medicine, 2020
2982020
A Novel Wavelet Sequence Based on Deep Bidirectional LSTM Network Model for ECG Signal Classification
O Yildirim
Computers in Biology and Medicine 96, 189-202, 2018
2292018
Arrhythmia Detection Using Deep Convolutional Neural Network With Long Duration ECG Signals
O Yildirim, P Plawiak, RS Tan, UR Acharya
Computers in Biology and Medicine 102, 411-420, 2018
2142018
Application of deep transfer learning for automated brain abnormality classification using MR images
M Talo, UB Baloglu, O Yildirim, UR Acharya
Cognitive Systems Research 54, 176-188, 2019
1282019
Classification of Myocardial Infarction with Multi-Lead ECG Signals and Deep CNN
UB Baloglu, M Talo, O Yildirim, RS Tan, UR Acharya
Pattern Recognition Letters 122, 23-30, 2019
882019
Optimal feature selection for classification of the power quality events using wavelet transform and least squares support vector machines
H Erişti, Ö Yıldırım, B Erişti, Y Demir
International Journal of Electrical Power & Energy Systems 49, 95-103, 2013
862013
An Efficient Compression of ECG Signals Using Deep Convolutional Autoencoders
O Yildirim, RS Tan, UR Acharya
Cognitive Systems Research 52, 198-211, 2018
732018
A New Approach for Arrhythmia Classification Using Deep Coded Features and LSTM Networks
O Yildirim, UB Baloglu, RS Tan, JE Ciaccio, UR Acharya
Computer Methods and Programs in Biomedicine, 121-133, 2019
722019
Face Recognition Based on Convolutional Neural Network
M Coşkun, A Uçar, Ö Yıldırım, Y Demir
702017
Automatic recognition system of underlying causes of power quality disturbances based on S-Transform and Extreme Learning Machine
H Erişti, Ö Yıldırım, B Erişti, Y Demir
International Journal of Electrical Power & Energy Systems 61, 553-562, 2014
682014
A Deep Convolutional Neural Network Model for Automated Identification of Abnormal EEG Signals
O Yildirim, UB Baloglu, UR Acharya
Neural Computing and Applications, 15857–15868, 2020
44*2020
A deep learning model for automated sleep stages classification using PSG signals
O Yildirim, UB Baloglu, UR Acharya
International Journal of Environmental Research and Public Health, 2019
422019
Convolutional neural networks for multi-class brain disease detection using MRI images
M Talo, O Yildirim, UB Baloglu, G Aydin, UR Acharya
Computerized Medical Imaging and Graphics, 2019
382019
Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals
Ö Yildirim, M Talo, B Ay, UB Baloglu, G Aydin, UR Acharya
Computers in Biology and Medicine 113, 2019
352019
Automated Invasive Ductal Carcinoma Detection Based Using Deep Transfer Learning with Whole-Slide Images
Y Celik, M Talo, O Yildirim, M Karabatak, UR Acharya
Pattern Recognition Letters, 2020
342020
An Overview of Popular Deep Learning Methods
M Coskun, O Yildirim, A Ucar, Y Demir
European Journal of Technic 7 (2), 165-176, 2017
272017
A New Embedded Power Quality Event Classification System Based on the Wavelet Transform
B Eristi, O Yildirim, H Eristi, Y Demir
International Transactions on Electrical Energy Systems 28 (9), 2018
262018
Fpga-Based Online Power Quality Monitoring System For Electrical Distribution Network
O Yildirim, B Eristi, H Eristi, S Unal, Y Erol, Y Demir
Measurement 121, 109-121, 2018
252018
Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals
B Ay, O Yildirim, M Talo, UB Baloglu, G Aydin, S D.P, UR Acharya
Journal of Medical Systems, 2019
242019
Application of computational intelligence methods for the automated identification of paper-ink samples based on LIBS
K Rzecki, T Sosnicki, M Baran, M Niedzwiecki, M Król, T Łojewski, ...
Sensors 18 (11), 3670; doi:10.3390/s18113670, 2018
222018
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Makaleler 1–20