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