特邀编辑 《面向消费者数字生态系统的工业 5.0 数据驱动创新和对抗学习模型

IF 4.3 2区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Consumer Electronics Pub Date : 2024-08-29 DOI:10.1109/TCE.2024.3383608
Arun Kumar Sangaiah;Xizhao Wang;Mohammad S. Obaidat;Patrick C. K. Huang;Kannan Govindan
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引用次数: 0

摘要

近年来,通信进步(如 5G)、人工智能(AI)、工业边缘计算和对抗式机器学习(ML)等先进技术的融合加速了工业 5.0 系统的发展,为消费者塑造了数字生态系统。这种技术融合有望满足数字生态系统中工业 5.0 系统所必需的服务要求和网络安全战略。工业 5.0 是第五次工业革命,代表着一种模式转变,它整合了数字生态系统和新兴技术,如物联网 (IoT)、网络物理系统 (CPS)、云计算和人工智能。这些技术的融合将建立智能、开放和安全的工厂,彻底改变工业自动化和制造流程。
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Guest Editorial Data-Driven Innovation and Adversarial Learning Models for Industry 5.0 Toward Consumer Digital Ecosystems
In recent years, the integration of advanced technologies such as communication advancements (e.g., 5G), Artificial Intelligence (AI), industrial edge computing, and adversarial Machine Learning (ML) has accelerated the evolution of Industry 5.0 systems, shaping digital ecosystems for consumers. This convergence of technologies holds promise for addressing the service requirements and cybersecurity strategies essential for Industry 5.0 systems within digital ecosystems. Industry 5.0, the fifth industrial revolution, represents a paradigm shift integrating digital ecosystems and emerging technologies like the Internet of Things (IoT), Cyber-Physical Systems (CPS), cloud computing, and AI. These technologies converge to establish intelligent, open, and secure factories, revolutionizing industrial automation and manufacturing processes.
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来源期刊
CiteScore
7.70
自引率
9.30%
发文量
59
审稿时长
3.3 months
期刊介绍: The main focus for the IEEE Transactions on Consumer Electronics is the engineering and research aspects of the theory, design, construction, manufacture or end use of mass market electronics, systems, software and services for consumers.
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