A.I. Was Supposed to “Revolutionize” Work. In Many Offices, It’s Only Creating Chaos.

Few people are as knee-deep in our work-related anxieties and sticky office politics as Alison Green, who has been fielding ...
IEEE

State-split deep reinforcement learning approach to weapon target assignment problem

Abstract: In this study, a novel deep reinforcement learning (DRL) algorithm is proposed to deal with the weapon target assignment (WTA) problem, which takes the unmanned aerial vehicle (UAV) safety ...
IEEE

Optimizing Subchannel Assignment and Power Allocation for Network Slicing in High-Density NOMA Networks: A Q-Learning Approach

Abstract: The growing number of connected devices in high-density environments poses serious challenges for accommodating and managing these devices across different network slicing services, such as ...
Frontiers

Machine learning-based approach to guide the choice between baricitinib and tocilizumab in critical COVID-19 pneumonia treatment: a retrospective cohort study

Introduction: Clear guidance on choosing baricitinib (BCT) or tocilizumab (TCZ) for critical COVID-19 pneumonia remains limited. We developed machine-learning (ML) models to inform immunomodulator ...