About Computer Engineering and Intelligent System Journal
The Computer Engineering and Intelligent System Journal (CEISJ) is an international, peer-reviewed, open-access journal that publishes cutting-edge research in computer engineering, artificial intelligence, intelligent systems, and related fields. CEISJ aims to provide a platform for researchers, engineers, and practitioners to share novel findings, advanced methodologies, and innovative applications that drive progress in computing and intelligent technologies. Click here for more detail.
ISSN: 2997-6812
Impact Factor: 7.12
Current issue:
Current issue:
Volume 9, Number 4
Distribution: Open Access
Frequency: Published continously online with 6 issues per year.
Recent Publications
Volume 9, Number 4
Alexandra Hughes admin (1), Rodriguez Michael (2)
- (1) Senior Lecturer, Department of Computer Science, University of Sydney, Australia, 123 Science Road, Room 305, Sydney, NSW 2006, Australia.
- (2) Senior Lecturer, Department of Computer Science, University of Sydney, Australia, 123 Science Road, Room 305, Sydney, NSW 2006, Australia.
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JATS
Abstract View: 2193
PDF downloads: 1731
JATS downloads: 221
Kanyawee Srisuk Pimchanok (1), Anong Phromphong Warisara (2), Chonlasin Kritsada (3)
- (1) Demonstration School of Nakhon Ratchasima Rajabhat University, Thailand
- (2) Department of Computational Science and Digital Technology, Thammasat University, Thailand
- (3) Department of Computational Science and Digital Technology, Thammasat University, Thailand
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JATS
Abstract View: 2449
PDF downloads: 1784
JATS downloads: 291
Noor Al-Farsi Aisha (1), Mahmood Al-Haddad Hamza (2)
- (1) Department of Information Technology, Sultan Qaboos University, Oman
- (2) Department of Information Technology, Sultan Qaboos University, Oman
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JATS
Abstract View: 2407
PDF downloads: 1620
JATS downloads: 256
Emily Jane Roberts (1), Benjamin William Harper (2)
- (1) Associate Researcher, University of Melbourne
- (2) Lead Developer, Tech Solutions Ltd., Australia
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JATS
Abstract View: 2156
PDF downloads: 1725
JATS downloads: 278
Patel Nadia (1), Lee David (2)
- (1) Institute of Technology, University of Auckland
- (2) Department of Computer Science, University of Toronto
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JATS
Abstract View: 2180
PDF downloads: 1691
JATS downloads: 277