Generative-Adversarial-Based Feature Compensation to Predict Quality of Service-Reference-Cited by-同舟云学术

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Generative-Adversarial-Based Feature Compensation to Predict Quality of Service

Published:2023 Issue: Volume: Page:1-15
ISSN:1939-1374
Container-title:IEEE Transactions on Services Computing
language:
Short-container-title:IEEE Trans. Serv. Comput.

Author:

Zhang Peiyun¹^ORCID,Chen Yutong¹^ORCID,Huang Wenjun¹^ORCID,Zhu Haibin²^ORCID,Zhao Qinglin³^ORCID

Affiliation:

1. Engineering Research Center of Digital Forensics of Ministry of Education, and the School of Computer Science, Nanjing University of Information Science & Technology, Nanjing, China

2. Department of Computer Science and Mathematics, Nipissing University, North Bay, ON, Canada

3. School of Computer Science and Engineering, Macau University of Science and Technology, Taipa, China

Funder

National Natural Science Foundation of China

Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Link

http://xplorestaging.ieee.org/ielx7/4629386/4629387/10347523.pdf?arnumber=10347523

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