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 ...

This project was developed collaboratively by Priya Kumari and Nripendra Kumar as part of an Artificial Intelligence, Computer Vision, and Autonomous Systems learning initiative.

Abstract: This research examines anomaly detection in cybersecurity by utilizing various machine learning classifiers, including Naive Bayes, Artificial Neural Network (ANN), Support Vector Machine ...