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

Abstract: The timely and accurate traffic flow prediction is critical for stable and safe Intelligent Transportation System (ITS). Due to the nonlinearity and difficulty of traffic, the existing ...

[10] Chen, J., Wang, C., & Gao, Z. (2026). Infrastructure bundles and business entry: Evidence from China. Finance Research Letters, 96, 109800. https://doi.org/10. ...

UCare meltdown leads to long hold times, medical transportation problems for patients Minnetonka-based Medica, which took over operations Jan. 1, says it has addressed long call center waits and ...

Tens of thousands of shoppers are reporting widespread problems using Amazon’s website, according to reports from outage tracker Downdetector. As of 3:45 p.m. ET on Thursday, March 5, reports of ...

A new study finds that certain patterns of AI use are driving cognitive fatigue, while others can help reduce burnout. by Julie Bedard, Matthew Kropp, Megan Hsu, Olivia T. Karaman, Jason Hawes and ...

Abstract: This paper addresses the challenge of enhancing spectral efficiency in multi-cell vehicular communication, where a base station (BS) in each cell reuses the available spectrum to serve ...