Papers
1–3 of 3Research Paper·Jan 21, 2026
Visual and Cognitive Demands of a Large Language Model-Powered In-vehicle Conversational Agent
Driver distraction remains a leading contributor to motor vehicle crashes, necessitating rigorous evaluation of new in-vehicle technologies. This study assessed the visual and cognitive demands associ...
7.0 viability
Research Paper·Mar 9, 2026
An explainable hybrid deep learning-enabled intelligent fault detection and diagnosis approach for automotive software systems validation
Advancements in data-driven machine learning have emerged as a pivotal element in supporting automotive software systems (ASSs) engineering across various levels of the V-development process. Duringsy...
7.0 viability
Research Paper·Mar 2, 2026
An Analysis of Multi-Task Architectures for the Hierarchic Multi-Label Problem of Vehicle Model and Make Classification
Most information in our world is organized hierarchically; however, many Deep Learning approaches do not leverage this semantically rich structure. Research suggests that human learning benefits from ...
5.0 viability