| 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 | 141 | 2013 |
| 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 | 106 | 2014 |
| 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 | 51 | 2018 |
| A new deep learning method for the classification of power quality disturbances in hybrid power system B Eristi, H Eristi Electrical Engineering 104 (6), 3753-3768, 2022 | 21 | 2022 |
| A real-time power quality disturbance detection system based on the wavelet transform B Eristi, O Yildirim, H Eristi, Y Demir 2016 51st International universities power engineering conference (UPEC), 1-5, 2016 | 20 | 2016 |
| Classification of power quality disturbances in solar PV integrated power system based on a hybrid deep learning approach B Eristi, H Eristi International Transactions on Electrical Energy Systems 2022 (1), 8519379, 2022 | 17 | 2022 |
| Classification of breast tumors by using a novel approach based on deep learning methods and feature selection N Kutluer, OA Solmaz, V Yamacli, B Eristi, H Eristi Breast Cancer Research and Treatment 200 (2), 183-192, 2023 | 9 | 2023 |
| An FPGA-based system for real-time monitoring of voltage harmonics B Erişti, Ö Yıldırım, H Erişti, Y Demir Sl: sn, 2013 | 5 | 2013 |
| An online electric power quality disturbance detection system Ö Yildirim, B Erıştı, H Erıştı, S Ünal, Y Erol, Y Demır 2016 51st International Universities Power Engineering Conference (UPEC), 1-5, 2016 | 4 | 2016 |
| Automatic classification of harmonic data using -means and least square support vector machine H ERİŞTİ, V TÜMEN, Ö YILDIRIM, B ERİŞTİ, Y Demir Turkish Journal of Electrical Engineering and Computer Sciences 23 (5), 1312 …, 2015 | 3 | 2015 |
| A novel microgrid islanding classification algorithm based on combining hybrid feature extraction approach with deep ResNet model B Eristi, V Yamacli, H Eristi Electrical Engineering 106 (1), 145-164, 2024 | 2 | 2024 |
| An FPGA based power quality monitoring system Ö Yildirim, B Eri̇şti̇, H Eri̇şti̇, S Ünal, Y Erol, Y Demi̇R 2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015 | 2 | 2015 |
| Classification of power quality event using wavelet transform and associaton rules H Erişti, Ö Yıldırım, B Erişti, Y Demir 2012 20th Signal Processing and Communications Applications Conference (SIU …, 2012 | 2 | 2012 |
| A New Approach based on Deep Features of Convolutional Neural Networks for Partial Discharge Detection in Power Systems B Eristi IEEE Access, 2024 | | 2024 |
| Classification of Power Quality Disturbances Using Welch-Based Power Spectral Density Features B Eristi 2024 32nd Signal Processing and Communications Applications Conference (SIU …, 2024 | | 2024 |
| Dalgacık Paket Dönüşümü, ReliefF Özellik Seçimi ve Topluluk Öğrenme Algoritması Tabanlı Bir Kısmi Deşarj Arızası Tespit Yöntemi B Erişti Fırat Üniversitesi Mühendislik Bilimleri Dergisi 35 (2), 505-516, 2023 | | 2023 |
| Gerçek Zamanlı Akım ve Gerilim Sinyallerinin İzlenmesi için FPGA Tabanlı Bir Sistem Tasarımı An FPGA-Based System Design for Real-Time Monitoring of Current and Voltage Signals Ö Yıldırım, B Erişti, H Erişti, Y Demir | | |
| SOLUTION OF ELECTROSTATIC FIELD PROBLEM WITH PARABOLIC BOUNDARY ELEMENTS S YILDIRIM, B ERİŞTİ, H ERİŞTİ | | |
