Now showing items 1-6 of 6
Exploring Training Provenance for Clues of Data Poisoning in Machine Learning
(2023-04-30)
Machine Learning today plays a vital role in a wide range of critical applications. To ensure ML models are consistently able to produce correct output, such models must be retrained as new input samples become available ...
Cognitive Impairment Anomaly Detection Using Metric Learning on Triplet Networks
(2023-04-30)
Machine learning is used for many application purposes; some of the common ones being classification, regression, and anomaly detection. This project aims to deal with anomaly detection using metric learning of the data ...
Design and Implementation of an Autonomous Driving System with a Deep Learning Approach on a Scaled Vehicle Platform
(2022-12-17)
The thesis project is developed to create a platform for autonomous driving research and education purposes. The main goal of this study is to present a complete and adequate way for building a platform with a drive-by-wire ...
An Approach for Reducing Racial Bias in Facial Monitoring Systems
(2022-12-17)
This thesis provides a new approach to reduce racial bias issues and inaccuracies caused by unbalanced benchmark datasets in facial detection systems. It is well known that these unbalanced benchmark datasets significantly ...
Adapting Visible Light Communication Technology for Inter-Vehicular Use
(2021-08-25)
With the advent of connected and autonomous vehicles rapidly approaching, automakers are finding that existing technologies for radio-frequency wireless inter-vehicle communication are not keeping up with demand. A potential ...
Providing Real-Time Exercise Feedback to Patients Undergoing Physical Therapy
(2021-08-25)
Musculoskeletal conditions, often requiring rehabilitation, affect one-third of the U.S. population annually. RehabBuddy is a rehabilitation assistance system that extends the reach of a physical rehabilitation specialist ...