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    Nordic Artificial Intelligence Research and Development

    4th Symposium of the Norwegian AI Society, NAIS 2022, Oslo, Norway, May 31 – June 1, 2022, Revised Selected Papers

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    Contributor(s)
    Zouganeli, Evi (editor)
    Yazidi, Anis (editor)
    Mello, Gustavo (editor)
    Lind, Pedro (editor)
    Language
    English
    Show full item record
    Abstract
    This book constitutes the refereed proceedings of the 4th Symposium of the Norwegian AI Society, NAIS 2022, held in Oslo, Norway, during May 31–June 1, 2022. The 11 full papers included in this book were carefully reviewed and selected from 17 submissions. They were organized in topical sections as follows: robotics and intelligent systems; ai in cyber and digital sphere; ai in biological applications and medicine; and towards new ai methods. This is an open access book.
    URI
    https://library.oapen.org/handle/20.500.12657/61287
    Keywords
    artificial intelligence; clustering algorithms; computer security; computer vision; correlation analysis; data handling; data integration; engineering; expert systems; Human-Computer Interaction (HCI); image analysis; image processing; integrated data; machine learning; network protocols; software engineering; unsupervised learning
    DOI
    10.1007/978-3-031-17030-0
    ISBN
    9783031170300, 9783031170300
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2022
    Grantor
    • The Research Council of Norway - [...]
    Imprint
    Springer International Publishing
    Series
    Communications in Computer and Information Science, 1650
    Classification
    Network hardware
    Artificial intelligence
    Computer vision
    Information technology: general topics
    Computer networking and communications
    Software Engineering
    Pages
    139
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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