Unsupervised exemplar-based learning for improved document image classification
Many recent state-of-the-art approaches for document image classification are based [...]
Weakly supervised bounding box extraction for unlabeled data in table detection
Most of the table detection tasks are using existing off- [...]
Game Theoretic Reinforcement Learning Framework For Industrial Internet of Things
The fifth-generation (5G) wireless network provides high-rate, ultra-low latency, and [...]
Computing on Wheels: A Deep Reinforcement Learning-Based Approach
Future generation vehicles equipped with modern technologies will impose unprecedented [...]
Energy-aware Control Of UAV-based Wireless Service Provisioning
Unmanned aerial vehicle (UAV)-assisted communications have several promising advantages, such [...]
Deep Reinforcement Learning for URLLC in 5G Mission-Critical Cloud Robotic Application
In this paper, we investigate the problem of robot swarm [...]
Deep Q-Learning for Joint Server Selection, Offloading, and Handover in Multi-access Edge Computing
In this paper, we propose a deep reinforcement learning (DRL) [...]
UAV Control for Wireless Service Provisioning in Critical Demand Areas: A Deep Reinforcement Learning Approach
In this paper, we investigate the problem of wireless service [...]
Joint Server Selection, Cooperative Offloading and Handover in Multi-access Edge Computing Wireless Network: A Deep Reinforcement Learning Approach
In this paper, we consider a multi-user MEC wireless network [...]