| Face recognition based on convolutional neural network M Coşkun, A Uçar, Ö Yildirim, Y Demir 2017 international conference on modern electrical and energy systems (MEES …, 2017 | 352 | 2017 |
| Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review F Murat, O Yildirim, M Talo, UB Baloglu, Y Demir, UR Acharya Computers in biology and medicine 120, 103726, 2020 | 317 | 2020 |
| Object recognition and detection with deep learning for autonomous driving applications A Uçar, Y Demir, C Güzeliş Simulation 93 (9), 759-769, 2017 | 204 | 2017 |
| Wavelet-based feature extraction and selection for classification of power system disturbances using support vector machines H Erişti, A Uçar, Y Demir Electric power systems research 80 (7), 743-752, 2010 | 193 | 2010 |
| A new facial expression recognition based on curvelet transform and online sequential extreme learning machine initialized with spherical clustering A Uçar, Y Demir, C Güzeliş Neural Computing and Applications 27, 131-142, 2016 | 163 | 2016 |
| Prediction of wastewater treatment plant performance based on wavelet packet decomposition and neural networks D Hanbay, I Turkoglu, Y Demir Expert systems with applications 34 (2), 1038-1043, 2008 | 152 | 2008 |
| 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 | 142 | 2013 |
| An overview of popular deep learning methods M Coşkun, Ö Yıldırım, A Uçar, Y Demır European Journal of Technique (EJT) 7 (2), 165-176, 2017 | 135 | 2017 |
| A new algorithm for automatic classification of power quality events based on wavelet transform and SVM H Erişti, Y Demir Expert systems with applications 37 (6), 4094-4102, 2010 | 133 | 2010 |
| Automatic classification of power quality events and disturbances using wavelet transform and support vector machines H Eristi, Y Demir IET generation, transmission & distribution 6 (10), 968-976, 2012 | 112 | 2012 |
| 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 | 108 | 2014 |
| Review of deep learning-based atrial fibrillation detection studies F Murat, F Sadak, O Yildirim, M Talo, E Murat, M Karabatak, Y Demir, ... International journal of environmental research and public health 18 (21), 11302, 2021 | 68 | 2021 |
| An expert system based on wavelet decomposition and neural network for modeling Chua’s circuit D Hanbay, I Turkoglu, Y Demir Expert systems with applications 34 (4), 2278-2283, 2008 | 63 | 2008 |
| 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), e2597, 2018 | 50 | 2018 |
| The solutions of vibration control problems using artificial neural networks H Alli, A Uçar, Y Demir Journal of the Franklin Institute 340 (5), 307-325, 2003 | 49 | 2003 |
| Exploring deep features and ECG attributes to detect cardiac rhythm classes F Murat, O Yildirim, M Talo, Y Demir, RS Tan, EJ Ciaccio, UR Acharya Knowledge-Based Systems 232, 107473, 2021 | 48 | 2021 |
| 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 | 44 | 2018 |
| Prediction of chemical oxygen demand (COD) based on wavelet decomposition and neural networks D Hanbay, I Turkoglu, Y Demir CLEAN–Soil, Air, Water 35 (3), 250-254, 2007 | 41 | 2007 |
| Moving towards in object recognition with deep learning for autonomous driving applications A Uçar, Y Demir, C Güzeliş 2016 International Symposium on INnovations in Intelligent SysTems and …, 2016 | 39 | 2016 |
| Efficient deep neural network model for classification of grasp types using sEMG signals M Coskun, O Yildirim, Y Demir, UR Acharya Journal of ambient intelligence and humanized computing 13 (9), 4437-4450, 2022 | 33 | 2022 |
