| Classification of covid-19 dataset with some machine learning methods Y Ünal, MN Dudak Journal of Amasya university the institute of sciences and technology 1 (1 …, 2020 | 21 | 2020 |
| A comparative study of vision transformers and convolutional neural networks: sugarcane leaf diseases identification S Öğrekçi, Y Ünal, MN Dudak European Food Research and Technology 249 (7), 1833-1843, 2023 | 13 | 2023 |
| Comparison of current convolutional neural network architectures for classification of damaged and undamaged cars Y Ünal, Ş Öztürk, MN Dudak, M Ekici Advances in Deep Learning, Artificial Intelligence and Robotics: Proceedings …, 2022 | 9 | 2022 |
| Deep Learning Approaches for Sunflower Disease Classification: A Study of Convolutional Neural Networks with Squeeze and Excitation Attention Blocks Y Ünal, MN Dudak Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 13 (1), 247-258, 0 | 3 | |
| Inpainting Using Coordinate Attention and Aggregated Transformation Blocks DM Nuri, Ç Serdar IARED INTERNATIONAL CONFERENCE, 8, 2024 | | 2024 |
| Low-light Image Enhancement Using Attention Mechanisms on Edge-Connect Architecture MN Dudak, B Söylemez, S Çiftçi 2024 32nd Signal Processing and Communications Applications Conference (SIU …, 2024 | | 2024 |
| DERİN ÖĞRENME TABANLI KENAR REHBERLİ GÖRÜNTÜ İÇ BOYAMA MN DUDAK | | 2024 |
| Examining the Performance of a Deep Learning Model Utilizing Yolov8 for Vehicle Make and Model Classification Y Ünal, M Bolat, MN Dudak Journal of Engineering Technology and Applied Sciences 9 (2), 131-143, 2017 | | 2017 |
yavuz ünalAmasya Üniversitesi, Mühendislik FakültesiVerified email at amasya.edu.tr
