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Overview

International Journal of Machine Learning and Cybernetics is a dedicated platform for the confluence of machine learning and cybernetics research.

  • Focused on the hybrid development of machine learning and cybernetics.
  • Encourages the submission of new ideas, design alternatives, and case studies.
  • Covers key research areas such as pattern recognition technology and control of system-environment interactions.
  • Explores biochemical interactions in biological and biologically-inspired systems.
  • Promotes learning for the improvement of communication schemes between systems.

Editors-in-Chief
  • Xizhao Wang PhD
  • Daniel S. Yeung PhD

Journal metrics

Journal Impact Factor
2.7 (2024)
5-year Journal Impact Factor
3.3 (2024)
Submission to first decision (median)
4 days
Downloads
504.5k (2025)

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Journal updates

Journal information

Electronic ISSN
1868-808X
Print ISSN
1868-8071
Abstracted and indexed in
  1. ACM Digital Library
  2. ANVUR
  3. Baidu
  4. CLOCKSS
  5. CNKI
  6. CNPIEC
  7. Chemical Abstracts Service (CAS)
  8. Chinese Academy of Medical Science (CAMS)
  9. DBLP
  10. Dimensions
  11. EBSCO
  12. EI Compendex
  13. Google Scholar
  14. INSPEC
  15. Japanese Science and Technology Agency (JST)
  16. Naver
  17. Norwegian Register for Scientific Journals and Series
  18. OCLC WorldCat Discovery Service
  19. Portico
  20. ProQuest
  21. SCImago
  22. SCOPUS
  23. Science Citation Index Expanded (SCIE)
  24. TD Net Discovery Service
  25. Wanfang
  26. eLibrary.ru
© Springer-Verlag GmbH Germany, part of Springer Nature

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