Eco-Friendly Low Resource Security Surveillance Framework Toward Green AI Digital Twin
Author:
Affiliation:
1. Department of Embedded Systems Engineering, Incheon National University, Incheon, South Korea
2. Laboratoire des Signaux et Systémes, CNRS, CentraleSupélec, Université Paris-Saclay, Gif-sur-Yvette, France
Funder
Incheon National University (International Cooperative) Research Grant in 2022
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation
Link
http://xplorestaging.ieee.org/ielx7/4234/10008392/09932580.pdf?arnumber=9932580
Reference10 articles.
1. Research Challenges and Security Threats to AI-Driven 5G Virtual Emotion Applications Using Autonomous Vehicles, Drones, and Smart Devices
2. A Virtual Emotion Detection Architecture with Two-way Enabled Delay Bound toward Evolutional Emotion-based IoT Services
3. FAMU: Fault-Tolerant Mutual Assisted Virtual Emotion Barrier System Using Intelligent Smart UAVs
4. Green AI for IIoT: Energy Efficient Intelligent Edge Computing for Industrial Internet of Things
5. Reinforcement Learning-Based Energy-Efficient Data Access for Airborne Users in Civil Aircrafts-Enabled SAGIN
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