Efficient android electronic nose design for recognition and perception of fruit odors using Kernel Extreme Learning Machines A Uçar, R Özalp Chemometrics and Intelligent Laboratory Systems 166, 69-80, 2017 | 53 | 2017 |
A review of deep reinforcement learning algorithms and comparative results on inverted pendulum system R Özalp, NK Varol, B Taşci, A Uçar Machine Learning Paradigms: Advances in Deep Learning-based Technological …, 2020 | 31 | 2020 |
New CNN and hybrid CNN-LSTM models for learning object manipulation of humanoid robots from demonstration SN Aslan, R Özalp, A Uçar, C Güzeliş Cluster Computing 25 (3), 1575-1590, 2022 | 24 | 2022 |
An Implementation of Vision Based Deep Reinforcement Learning for Humanoid Robot Locomotion R Özalp, A Uçar, Ç Kaymak, Y Demir, Ö Yıldırım, C Güzeliş | 13* | |
End-To-End Learning from Demonstation for Object Manipulation of Robotis-Op3 Humanoid Robot SN Aslan, R Ozalp, A Uçar, C Güzeliş 2020 International Conference on INnovations in Intelligent SysTems and …, 2020 | 7 | 2020 |
Advancements in Deep Reinforcement Learning and Inverse Reinforcement Learning for Robotic Manipulation: Towards Trustworthy, Interpretable, and Explainable Artificial Intelligence R Ozalp, A Ucar, C Guzelis IEEE Access, 2024 | 6 | 2024 |
Çip üzerinde sistem mimarili fpga kullanarak gerçek zamanlı görüntü işleme algoritmalarının gerçekleştirilmesi R Özalp Fen Bilimleri Enstitüsü, 2018 | 4 | 2018 |
Meyve Kokularının Algılanması Ve Sınıflandırılması İçin Düşük Maliyetli Elektronik Burun Tasarımı A Uçar, R Özalp | 2 | 2016 |