DT-LSMAS: Digital Twin-Assisted Large-Scale Multiagent System for Healthcare Workflows-Reference-Cited by-同舟云学术

DT-LSMAS: Digital Twin-Assisted Large-Scale Multiagent System for Healthcare Workflows

Published:2024 Issue: Volume: Page:1-10
ISSN:1932-8184
Container-title:IEEE Systems Journal
language:
Short-container-title:IEEE Systems Journal

Author:

Lakhan Abdullah¹^ORCID,Mohammed Mazin Abed²^ORCID,Zebar Dilovan Asaad³^ORCID,Abdulkareem Karrar Hameed⁴^ORCID,Deveci Muhammet⁵^ORCID,Marhoon Haydar Abdulameer⁶^ORCID,Nedoma Jan⁷^ORCID,Martinek Radek⁸^ORCID

Affiliation:

1. Department of Computer Science, Dawood University of Engineering and Technology, Sindh, Karachi, Pakistan

2. Department of Artificial Intelligence, College of Computer Science and Information Technology, University of Anbar, Anbar, Iraq

3. Department of Computer Science, College of Science, Nawroz University, Duhok, Iraq

4. College of Agriculture, Al-Muthanna University, Samawah, Iraq

5. Department of Industrial Engineering, Turkish Naval Academy, National Defence University, Tuzla, Istanbul, Türkiye

6. Information and Communication Technology Research Group, Scientific Research Center, Al-Ayen University, Thi-Qar, Iraq

7. Department of Telecommunications, VSB-Technical University of Ostrava, Ostrava, Czech Republic

8. Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, Ostrava, Czech Republic

Funder

European Commission

REFRESH-Research Excellence For Regional Sustainability and High-tech Industries

Operational Programme Just Transition

Ministry of Education, Youth and Sports of the Chezk Republic

VSB -Technical University of Ostrava

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4267003/4357939/10602504.pdf?arnumber=10602504