International Journal of Machine Learning and Cybernetics

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Journal Properties
  • Country
    United States
  • Language
    English
  • Number of Articles
    2,125
  • Abbreviation
    Int J Mach Learn Cybern
  • ISSN
    1868-8071
  • e-ISSN
    1868-808X
  • Main Publisher
    Springer Nature
  • Publisher
    Springer Science and Business Media LLC
  • Indian UGC
  • DOAJ (latest)
Journal Properties
  • Science
    Mathematics
    Instruments and machines
    Electronic computers
    Computer science
    Technology
    Electrical engineering
    Electronics
    Nuclear engineering
    Electronics
    Technology
    Mechanical engineering and machinery
Description
The International Journal of Machine Learning and Cybernetics serves as a premier venue for disseminating cutting-edge research and advancements in machine learning and cybernetics. Focus is on the theoretical foundations, algorithms, and applications of intelligent systems. The first 150 charachters focus on this interdisciplinary field, while key topics include deep learning, neural networks, evolutionary computation, fuzzy systems, and pattern recognition. The journal also explores topics such as robotics, automation, human-computer interaction, and cognitive science. Indexed in leading databases like Scopus and Web of Science, the International Journal of Machine Learning and Cybernetics serves as a valuable resource for researchers, engineers, and practitioners working in academia, industry, and government. You can submit to enhance interdisciplinary studies, while readers can access content that drives the development of intelligent technologies and their applications. Access the journal to keep abreast of the latest developments in machine learning and cybernetics, while also contributing to shaping the future of intelligent systems.