本文汇集了多篇IEEE杂志论文中的图表，探讨物联网、边缘计算和5G网络中的深度学习应用。通过分析图表，揭示了在物联网设备上的视频识别、区块链在电动车中的安全应用、5G超密集网络的资源分配技术、AI在网络流量管理中的作用，以及移动边缘计算与深度学习的结合等前沿话题。
学术论文中简洁优美的图表可以为论文的整体呈现增色不少，而如何设计图表是一门学问。
计划每周浏览10篇Magzine论文中的图表，学习一些画图技巧。
【1】Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing
Figure 1. Deep learning for video recognition with IoT devices.
Figure 2. Edge computing structure for IoT deep learning.
【2】Blockchain-Enabled Security in Electric Vehicles Cloud and Edge Computing
1 The network architecture of EVCE computing.
The contexts-aware vehicular applications based on the information and energy interactions.
The structure of distributed consortium blockchain.
The security scheme in EV cloud computing.
The security scheme in the EV edge computing
【3】A Deep-Learning-Based Radio Resource Assignment Technique for 5G Ultra Dense Networks
Figure 1.
Considered 5G network scenario.
Figure 2.
The enabling technologies of 5G and how deep learning may play an effective role in 5G radio resource co
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