Publications
A list of my peer-reviewed work. You can also find these on Google Scholar and ORCID.
Journal Articles
Published in IEEE Access, vol. 10, pp. 76095-76104, 2022
A computer-vision method for analysing handwritten logic circuits using YOLO and a boundary-tracking algorithm.
Recommended citation: Amraee, S., Chinipardaz, M., Charoosaei, M., and Mirzaei, M. A. (2022). Handwritten Logic Circuits Analysis Using the YOLO Network and a New Boundary Tracking Algorithm. IEEE Access, 10, 76095-76104. https://ieeexplore.ieee.org/document/9832898
Published in Visual Computing for Industry, Biomedicine, and Art (Springer Nature), 5(1), 13, 2022
A comparison of traditional feature-extraction methods and deep-learning approaches for classifying small metal objects.
Recommended citation: Amraee, S., Chinipardaz, M., and Charoosaei, M. (2022). Analytical study of two feature extraction methods in comparison with deep learning methods for classification of small metal objects. Visual Computing for Industry, Biomedicine, and Art, 5(1), 13. https://doi.org/10.1186/s42492-022-00111-6
Conference Papers
Published in International Conference on Modern Research in Electrical and Computer Engineering, 2022
A review of machine-learning applications in medical-image processing.
Recommended citation: Charoosaei, M. et al. The Application of Machine Learning in Medical Image Processing. https://drive.google.com/file/d/1nRx4aAv-khMXmHsO9gd4NzAns62RMcAR/view
Published in International Conference on Global Studies in Technology and Engineering Sciences, 2022
A study of deep-learning approaches for detecting driver distraction.
Recommended citation: Charoosaei, M. et al. Deep Learning Approaches for Driver Distraction Detection Systems.
