Real-time Image Enhancement for Emergency Rescue Scenarios in Smart Grids-Reference-Cited by-同舟云学术

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Real-time Image Enhancement for Emergency Rescue Scenarios in Smart Grids

Published:2024-05-24 Issue: Volume: Page:114-119
ISSN:
Container-title:2024 IEEE 4th International Conference on Electronic Technology, Communication and Information (ICETCI)
language:
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Author:

Dou Zeng¹,Tao Jingyi²,Lv Ning³,Cong Li¹,Huang Chengbin¹,Su Tao³

Affiliation:

1. Power Company Limited Information Communication Company,State Grid Jilin Province Electric,Changchun,China

2. Xidian University,School of Electronic Engineering Xidian Hangzhou Institute of Technology,Hangzhou,China

3. Xidian University,School of Electronic Engineering,Xi’an,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10593799/10594004/10594226.pdf?arnumber=10594226

Reference30 articles.

1. Multi-Agent Reinforcement Learning-Based Trading Decision-Making in Platooning-Assisted Vehicular Networks

2. SFO: An Adaptive Task Scheduling based on Incentive Fleet Formation and Metrizable Resource Orchestration for Autonomous Vehicle Platooning

3. Deep Deterministic Policy Gradient-Based Algorithm for Computation Offloading in IoV

4. A Safe-Distance Control Scheme to Avoid New Infection Like COVID-19 Virus Using Millimeter-Wave Radar

5. A Hierarchical Fusion SAR Image Change-Detection Method Based on HF-CRF Model

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