Communication networks are difficult to model and predict because they have become very sophisticated and dynamic. We develop a reinforcement learning routing algorithm (RLRouting) to solve a traffic ...

This paper introduces a different routing approach, called Deep Reinforcement Learning and Software-Defined Networking Intelligent Routing (DRSIR). DRSIR defines a routing algorithm based on Deep RL ...

Automation and AI-powered Yard Operating Systems are replacing outdated service frameworks to deliver real-time visibility, efficiency, and cost savings in supply chain yard management.

Learning algorithms Network models Neural decoding Neural encoding Latest Research and Reviews MAFNet: A novel adaptive multi-scale model for fine-grained grading of diabetic retinopathy Lei Sun ...