Abstract: This paper proposes a set of optimization algorithms to improve the correction accuracy and robustness in order to solve the problems of edge detection bias, feature point mismatching and ...
aDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA bDepartment of Medicine, University of California Los Angeles, Los Angeles, CA, USA cDepartment of Medicine, ...
Abstract: To address the limitations of existing object detection algorithms such as low accuracy, slow processing speed, and the inability to generate timely alerts for maintenance personnel in ...
This project was developed collaboratively by Priya Kumari and Nripendra Kumar as part of an Artificial Intelligence, Computer Vision, and Autonomous Systems learning initiative.
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