IEEE

A Progressive Network With Multiple Classifiers for Fault Diagnosis of Rotating Machinery Under Limited Sample Conditions

Abstract: The rapid development of fault diagnosis for rotating machinery has provided critical support to industrial production. However, in industrial environments, the high cost of data acquisition ...
IEEE

Efficacy of Autonomous Vehicle’s Adaptive Decision-Making Based on Large Language Models Across Multiple Driving Scenarios

Abstract: Understanding how large language models (LLMs) generalize across diverse traffic scenarios is critical for advancing autonomous driving systems. While previous studies have validated LLMs’ ...