This work describes the integration of a rotary shaft encoder system through multiple layers of hardware and software abstraction for autonomous control of an All-Terrain[...]

The purpose of this study was to understand whether students who took computer science courses in a prescribed sequence during middle school developed a strong enough com[...]

Automated human activity analysis for multi-camera networks requires algorithms that are both accurate and efficient for practical, real-time use. Current approaches face[...]

ABSTRACTNOURELISLAM ZOUAR. ANOMALY DETECTION FOR MANUFACTURING APPLICATIONS USING CONVOLUTIONAL AUTOENCODERS. (Under the direction of DR. MIN SHIN) Anomaly Detection in m[...]

This study investigates factors that influence young women’s decision to major in computer science (CS). While there is a rapid increase of scientific advances being made[...]

The task of visually tracking multiple objects remains an active field of algorithm development even after several decades of research in the computer vision community. O[...]

Monte-Carlo (MC) tree search is a new research field. Its effectiveness in searching large state spaces, such as the Go game tree, is well recognized in the computer Go c[...]

Video analysis plays an important role in the field of computer vision and finds its application in many areas. Fine-grained event classification is one of the most chall[...]

This dissertation presents a comprehensive exploration of innovative approaches and systems at the intersection of edge computing, deep learning, and real-time video anal[...]

This thesis proposes a novel method to recover depth of scene objects using an acoustic source and a calibrated neuromorphic camera or event camera sensor. The proposed s[...]