3 papers
cs.MA2026
Per-Shipment Multi-Agent Reinforcement Learning for Intermodal Freight Routing Under Hurricane Disruption
Aliza Sharmin, Xudong Wang, Mustafa Can Camur +1
Intermodal freight networks face growing disruption risk from climate extremes that degrade multiple corridors simultaneously. To address this, we formulate freight routing as a De…
cs.LG2026
Multi-Modal Machine Learning for Breast Cancer Recurrence Prediction
Jiahao Shao, Xudong Wang, Anam Nawaz Khan +3
Breast cancer recurrence, a leading cause of long-term mortality among survivors, requires timely and accurate risk assessment to guide follow-up care and treatment planning. Tradi…
cs.CY2024
Empowering Cognitive Digital Twins with Generative Foundation Models: Developing a Low-Carbon Integrated Freight Transportation System
Xueping Li, Haowen Xu, Jose Tupayachi +2
Effective monitoring of freight transportation is essential for advancing sustainable, low-carbon economies. Traditional methods relying on single-modal data and discrete simulatio…