IEEE

Task Offloading and Resource Allocation Based on Reinforcement Learning and Load Balancing in Vehicular Networking

Abstract: Due to limited on-board resources and the mobility characteristics of vehicles in a multi-access edge computing (MEC)-based vehicular network, efficient task offloading and resource ...
IEEE

Multi-Task Reinforcement Learning-Based Multiple Access for Dynamic Wireless Networks

Abstract: With the rapid development of emergent applications, wireless networks require the provision of high throughput. Meanwhile, wireless scenarios exhibit highly dynamic characteristics, ...
BMJ

Motor learning principles reported in stroke trials of upper limb task-oriented training: a scoping review

2 Centre for Comprehensive Stroke Rehabilitation and Research, Manipal Academy of Higher Education, Manipal, India Objective Upper limb task-oriented training (UL-TOT) is a complex intervention in ...
Edutopia

Making Use of a Worked Example to Improve Learning

It’s a familiar moment in math class—students are asked to solve a problem, and some jump in confidently while others freeze, unsure where to begin. When students don’t yet have a clear mental model ...