Now showing items 1-3 of 3
Network Traffic Fingerprinting using Machine Learning and Evolutionary Computing
The Internet has become essential to our daily life, especially with a multitude of IoT devices. However, the end hosts connected to the Internet are prone to be compromised. An essential measure for protecting attacks on ...
Anomalous Motion Detection of Vehicles on Highway using Deep Learning
Research in visual anomaly detection draws much interest due to applications in surveillance. Common data sets for evaluation are constructed using a stationary camera overlooking an area of interest. Despite the challenges ...
Predicting Agent Behavior by Estimating Motion Planners
To navigate the world safely, autonomous agents must predict the future actions of the other agents in the world. We propose a method to estimate the future positions of other agents by using a sample-based planner that ...