Farhang is a professor of Electrical and Computer Engineering at Sheridan College. He received his BSc in Electrical Engineering from Isfahan University of Technology, his MSc in Electrical Engineering from Toosi University of Technology, and his PhD in Image and Signal Processing from the University of Waterloo. Farhang followed his …

Farhang Sahba; Rozita Dara; Poetry is a form of art that is used to express emotions and feelings. Humans can easily distinguish poetry without any sophisticated tools. This study is concerned ...

Farhang Sahba. Professor in the Physics department at Sheridan College. 100%. Would take again. 1. Level of Difficulty. Rate Compare. I'm Professor Sahba. Professor Sahba's Top Tags. Amazing lectures Lecture heavy Test heavy. Similar Professors. 5.00 Adam Prokop; 5.00 Angus Scott; 5.00 Anthony Taveres; 2; Student Ratings. All courses. ENGI22245.

Abstract: This paper proposed a framework based on reinforcement learning for color object segmentation in video sequences. This agent-based method is used to find the appropriate values to detect an object. The reinforcement learning agent contains some sample images and their ground truth from which to learn.

Affiliations: [Sheridan College Institute of Technology and Advanced Learning, Oakville, ON, CA].

2006年1月1日 · Farhang Sahba, Member, IEEE, and Hamid R. T izhoosh, and Magdy M.A. Salama, Fellow, IEEE Abstract — This paper introduces a new method to medical image segmentation using a reinforcement ...

DOI: 10.1109/CSCI.2016.0166 Corpus ID: 509035; Deep Reinforcement Learning for Object Segmentation in Video Sequences @article{Sahba2016DeepRL, title={Deep Reinforcement Learning for Object Segmentation in Video Sequences}, author={Farhang Sahba}, journal={2016 International Conference on Computational Science and Computational Intelligence (CSCI)}, year={2016}, pages={857-860}, url={https ...

DOI: 10.1109/CSCI.2016.0276 Corpus ID: 11285814; Object Segmentation in Image Sequences Using Reinforcement Learning @article{Sahba2016ObjectSI, title={Object Segmentation in Image Sequences Using Reinforcement Learning}, author={Farhang Sahba}, journal={2016 International Conference on Computational Science and Computational Intelligence (CSCI)}, year={2016}, pages={1416-1417}, url={https ...

1 Department of electrical engineering, University of Toronto, Ontario, Canada. [email protected]; PMID: 19163135 DOI: 10.1109/IEMBS.2008.4649632 Abstract In this paper, a fuzzy operator for contrast enhancement of mammography images is presented. This intensity modification method is effective and fast in computing.

Dr. Farhang Sahba. Senior Research Scientist. Advisors. Dr. Sridhar Krishnan Professor of Electrical Engineering and Signal Analysis, Canadian Chair in Biomedical Signal Analysis; Dr. George Townsend Neuroscientist, Computer scientist, and EEG expert; Dr. Jerod Wagman