Deep-Deterministic-Policy-Gradient-Based Task Offloading With Optimized <i>K</i>-Means in Edge-Computing-Enabled IoMT Cyber-Physical Systems-Reference-Cited by-同舟云学术

Deep-Deterministic-Policy-Gradient-Based Task Offloading With Optimized K-Means in Edge-Computing-Enabled IoMT Cyber-Physical Systems

Published:2023 Issue: Volume: Page:1-12
ISSN:1932-8184
Container-title:IEEE Systems Journal
language:
Short-container-title:IEEE Systems Journal

Author:

Yang Chenyi¹^ORCID,Xu Xiaolong¹^ORCID,Bilal Muhammad²^ORCID,Wen Yiping³,Huang Tao⁴

Affiliation:

1. School of Software, Nanjing University of Information Science and Technology, Nanjing, China

2. School of Computing and Communications, Lancaster University, Lancaster, U.K.

3. Hunan Key Laboratory for Service Computing and Novel Software Technology, Hunan University of Science and Technology, XiangTan, China

4. School of Computer Science and Technology, Silicon Lake College, Suzhou, China

Funder

National Natural Science Foundation of China

Research Foundation of Hunan Provincial Education Department of China

Natural Science Foundation of the Jiangsu Higher Education Institutions of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/4267003/4357939/10256231.pdf?arnumber=10256231

Reference42 articles.

1. Integrated CNN and Federated Learning for COVID-19 Detection on Chest X-Ray Images

2. A Knowledge-Driven Anomaly Detection Framework for Social Production System

3. FairHealth: Long-Term Proportional Fairness-Driven 5G Edge Healthcare in Internet of Medical Things

4. Evaluation of an Intelligent Edge Computing System for the Hospital Intensive Care Unit

5. An Intelligent Trust Cloud Management Method for Secure Clustering in 5G enabled Internet of Medical Things

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