Neuro-Symbolic Explainable Artificial Intelligence Twin for Zero-Touch IoE in Wireless Network-Reference-Cited by-同舟云学术

Neuro-Symbolic Explainable Artificial Intelligence Twin for Zero-Touch IoE in Wireless Network

Published:2023-12-15 Issue:24 Volume:10 Page:22451-22468
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Munir Md. Shirajum¹^ORCID,Kim Ki Tae²^ORCID,Adhikary Apurba²^ORCID,Saad Walid²^ORCID,Shetty Sachin³^ORCID,Park Seong-Bae²^ORCID,Hong Choong Seon²^ORCID

Affiliation:

1. Department of COVA CCI Coastal Node, School of Cyber Security, Old Dominion University, Suffolk, VA, USA

2. Department of Computer Science and Engineering, Kyung Hee University, Yongin, Republic of Korea

3. Virginia Modeling, Analysis, and Simulation Center, Old Dominion University, Suffolk, VA, USA

Funder

National Research Foundation of Korea

Korea Government

Institute of Information and Communications Technology Planning and Evaluation

Korea Government (MSIT) through Artificial Intelligence (AI) Innovation Hub

AI Convergence Innovation Human Resources Development

Evolvable Deep Learning Model Generation Platform for Edge Computing

MSIT through the ITRC Support Program supervised by the IITP

DoD Center of Excellence in AI and Machine Learning (CoE-AIML) with the U.S. Army Research Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

https://ieeexplore.ieee.org/ielam/6488907/10353047/10214054-aam.pdf

Reference50 articles.

1. Digital-Twin-Enabled 6G: Vision, Architectural Trends, and Future Directions

2. A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems

3. From Artificial Intelligence to Explainable Artificial Intelligence in Industry 4.0: A Survey on What, How, and Where

4. Explainable Artificial Intelligence for 6G: Improving Trust between Human and Machine

5. A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

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