| Fabric defect detection systems and methods—A systematic literature review K Hanbay, MF Talu, ÖF Özgüven Optik 127 (24), 11960-11973, 2016 | 269 | 2016 |
| Segmentation of SAR images using improved artificial bee colony algorithm and neutrosophic set K Hanbay, MF Talu Applied Soft Computing 21, 433-443, 2014 | 75 | 2014 |
| Deep neural network based approach for ECG classification using hybrid differential features and active learning K Hanbay IET Signal Processing 13 (2), 165-175, 2019 | 46 | 2019 |
| Hyperspectral image classification using convolutional neural network and two-dimensional complex Gabor transform K Hanbay Journal of the Faculty of Engineering and Architecture of Gazi University 35 …, 2020 | 43 | 2020 |
| Continuous rotation invariant features for gradient-based texture classification K Hanbay, N Alpaslan, MF Talu, D Hanbay, A Karci, AF Kocamaz Computer Vision and Image Understanding, 2014 | 43 | 2014 |
| Multi-resolution intrinsic texture geometry-based local binary pattern for texture classification N Alpaslan, K Hanbay IEEE Access 8, 54415-54430, 2020 | 42 | 2020 |
| Derin Evrişimsel Sinir Ağı Kullanılarak Kayısı Hastalıklarının Sınıflandırılması M Türkoğlu, K Hanbay, IS Sivrikaya, D Hanbay Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 9 (1), 334-345, 2020 | 30 | 2020 |
| Real-time detection of knitting fabric defects using shearlet transform K Hanbay, MF Talu, ÖF Özgüven, D Öztürk Textile and Apparel 29 (1), 1-10, 2019 | 28 | 2019 |
| Multi-scale shape index-based local binary patterns for texture classification N Alpaslan, K Hanbay IEEE Signal Processing Letters 27, 660-664, 2020 | 26 | 2020 |
| A novel active contour model for medical images via the Hessian matrix and eigenvalues K Hanbay, MF Talu Computers & Mathematics with Applications 75 (9), 3081-3104, 2018 | 26 | 2018 |
| Principal curvatures based rotation invariant algorithms for efficient texture classification K Hanbay, N Alpaslan, MF Talu, D Hanbay Neurocomputing 199, 77-89, 2016 | 24 | 2016 |
| Nesne tespit ve takip metotları: Kapsamlı bir derleme K Hanbay, H Üzen Türk Doğa ve Fen Dergisi 6 (2), 40-49, 2017 | 23 | 2017 |
| Fabric defect detection methods for circular knitting machines K Hanbay, MF Talu, ÖF Özgüven, D Öztürk 2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015 | 23 | 2015 |
| Kumaş hatalarının online/offline tespit sistemleri ve yöntemleri K Hanbay, M Talu Sakarya University Journal of Science 18 (1), 49-69, 2014 | 21 | 2014 |
| Real time fabric defect detection by using fourier transform K Hanbay, M TALU, O Ozguven Journal of the Faculty of Engineering and Architecture of Gazi University 32 (1), 2017 | 16 | 2017 |
| A new standard error based artificial bee colony algorithm and its applications in feature selection K Hanbay Journal of King Saud University-Computer and Information Sciences 34 (7 …, 2022 | 14 | 2022 |
| Real time fabric defect detection system on Matlab and C++/Opencv platforms K Hanbay, S Golgiyaz, MF Talu 2017 International Artificial Intelligence and Data Processing Symposium …, 2017 | 13 | 2017 |
| Yuvarlak örgü makineleri için görüntü işleme tabanlı kumaş hatası tespit sistemi K Hanbay Inönü Üniversitesi, 2016 | 13 | 2016 |
| CNN-based fabric defect detection system on loom fabric inspection MF Talu, K Hanbay, MH Varjovi Textile and Apparel 32 (3), 208-219, 2022 | 10 | 2022 |
| Classification of apricot diseases by using deep convolution neural network M Türkoğlu, K Hanbay, IS Sivrikaya, D Hanbay BEU J. Sci 9, 334-345, 2020 | 9 | 2020 |
