Abstract: Traffic sign detection and recognition are the two main factors in the development process of an intelligent transportation system and independent vehicles. This paper introduces a novel ...

Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.

Abstract: In the context of transportation cyber-physical systems (T-CPS), backdoor attacks leveraging traffic images have emerged as a significant security threat. As T-CPS increasingly relies on ...