• 1 Mekatronik Mühendisliği Anabilim Dalı

  Web Sorumlusu » Nisan 2014 tarihinden itibaren.

Kitaplar

Kaymak, Ç., , U.A., , Handbook of Deep Learning Applications, Springer, , 40, 978-3-030-11478-7.

Kaymak, Ç., Uçar, A., , Handbook of Deep Learning Applications, Springer, , 380, 978-3-030-11479-4.

Kaymak, Ç., Rüya, S., Uçar, A., , Machine Vision and Mechatronics in Practice, Springer-Verlag Berlin Heidelberg, , , 978-3-662-45513-5.

Kaymak, Ç., Sarıcı, R., Uçar, A., , Machine Vision and Mechatronics in Practice, Springer, , 17, 978-3-662-45513-5.

Makaleler

Uluslararası

Kaymak, r., Kaymak, Ç., Uçar, A., (2020). Skin lesion segmentation using fully convolutional networks: A comparative experimental study. Expert Systems with Applications, 161(),113742-.

Ulusal

Bingöl, M.S., Kaymak, Ç., Uçar, A., (2019). Derin Öğrenme Kullanarak Otonom Araçların İnsan Sürüşünden Öğrenmesi. Fırat Üniversitesi Mühendislik Bilimleri Dergisi, 31(1),177-185.

Bildiriler

Uluslararası

Özalp, R., , K.Ç., , U.A., , D.Y., , G.C., (2019). An Implementation of Vision Based Deep Reinforcement Learning for Humanoid Robot Locomotion. 2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA), (),-.
Uçar, A., , K.Ç., (2019). An Implementation of Vision Based Deep Reinforcement Learning for Humanoid Robot Locomotion. 2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA), 1(1),1-5.
Özalp, R., Kaymak, Ç., Yıldırım, Ö., Uçar, A., Demir, Y., Güzeliş, C., (2019). An Implementation of Vision Based Deep Reinforcement Learning for Humanoid Robot Locomotion. 2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA), (),-.
Kaymak, Ç., Uçar, A., (2019). Semantic Image Segmentation for Autonomous Driving Using Fully Convolutional Networks. 2019 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
Kaymak, Ç., Uçar, A., (2015). Modeling, Controlling and Simulation of 4 DOF Robotic Arm Using SimMechanics. International Congresson Natural and Engineering Sciences (ICNES’15, 1(1),1-1.
Kaymak, Ç., Uçar, A., (2015). Modeling, Controlling and Simulation of 4 DOF Robotic Arm Using SimMechanics. International Congresson Natural and Engineering Sciences, (),12-.
Kaymak, Ç., Uçar, A., (2017). Kinematic Analysis of OWI–535 Robotic Arm and Simulation of Its Motion using SimMechanics. 8th International Advanced Technologies Symposium, (),2468-2476.
Kaymak, Ç., Uçar, A., (2015). Modeling Controlling and Sımulatıon of 4 DOF Robotıc Arm Usıng SimMechanics. 2015 International Congress on Natural and Engineering Sciences, (),-.
Kaymak, Ç., Rüya, S., Uçar, A., (). Illumination Invariant Face Recognition Using Principal Component Analysis an Overview. The 20th International Conference on Mechatronics and Machine Vision in Practice (M2VIP 2013),, (),-.
Kaymak, Ç., , S.R., , U.A., (). Illumination Invariant Face Recognition Using Principal Component Analysis an Overview. Proceedings of the 20th International Conference on Mechatronics and Machine Vision in Practice (M2VIP’13, (),133-142.

Ulusal

Kaymak, Ç., , U.A., (2019). Implementation of Object Detection and Recognition Algorithms on a Robotic Arm Platform Using Raspberry Pi. 2018 International Conference on Artificial Intelligence and Data Processing (IDAP), 1(1),1-8.
Kaymak, Ç., Sarici, r., Uçar, A., (2013). Matlab ve Temel Bileşen Analizi Kullanarak Yüz Tanıma. Ulusal Mekatronik Mühendisliği Öğrenci Kongresi (MeMök’xx13, 1(1),100-110.
Kaymak, Ç., , S.R., , U.A., (). Matlab ve Temel Bileşen Analizi Kullanarak Yüz Tanıma. Matlab ve Temel Bileşen Analizi Kullanarak Yüz Tanıma, (),100-110.