Üzen, H., Türkoğlu, M., & Hanbay, D. (2021, June). Surface defect detection using deep U-net network architectures. In 2021 29th Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.
Türkoğlu, M., Üzen, H., & Hanbay, D. (2020, October). A deep feature extractor approach for the recognition of pollen-bearing bees. In 2020 28th Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.
Üzen, H., Yeroğlu, C., & Hanbay, D. (2019, September). Development of CNN architecture for Honey Bees disease condition. In 2019 International Artificial Intelligence and Data Processing Symposium (IDAP) (pp. 1-5). IEEE.
Üzen, H., Firat, H., & Hanbay, D. (2019, September). Automatic thresholding method developed with entropy for fabric defect detection. In 2019 International Artificial Intelligence and Data Processing Symposium (IDAP) (pp. 1-4). IEEE.
Hüseyin, Ü. Z. E. N., & HANBAY, K. (2018, September). Adaptive Search Area in the Object Tracking. In 2018 International Conference on Artificial Intelligence and Data Processing (IDAP) (pp. 1-5). IEEE.
H. ÜZEN, K. HANBAY, Evaluation of Object Tracking Performance of ADNet Method with Different Datasets and Color Spaces, International Conference on Advanced Technologies, Computer Engineering and Science (ICATCES 2018), Safranbolu, 11-13.05.2018
H. ÜZEN, K. HANBAY, Comparison of Deep Learning and Correlation Filter-Based Methods in Object tracing, 2nd International Vocational Science Symposium (IVSS – 2018), Belek/Antalya, 26-29.04.2018
H. ÜZEN, K. HANBAY, Impact on The Performance of The Search Area in Object Tracking, 2nd International Vocational Science Symposium (IVSS – 2018), Belek/Antalya, 26-29.04.2018
Hanbay, K., Bayraktar, M. Y., & Üzen, H. (2017, October). Evaluation of BS and MS level computer engineering education. In 2017 International Conference on Computer Science and Engineering (UBMK) (pp. 119-123). IEEE.