Abstract: Intermittent fault (IF) threatens the safety for modern dynamic systems severely. The target of this work is to swiftly detect the occurrence and relievement of IFs and accurately gauge ...
Objective: We aimed to develop, validate, and assess NeuroBot, an AI-driven system that uses large language models (LLMs) with retrieval-augmented generation to deliver timely, accurate, and ...
Abstract: Trust is a critical issue in the field of human-vehicle interaction. In order to improve the efficiency of co-driving system while ensuring the safety and comfort of autonomous vehicles (AVs ...