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

Abstract: Efficient patient transport is crucial for the smooth operation of hospitals, as it directly impacts the timely delivery of medical care and the overall patient experience. The complexity of ...

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 ...