Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    UID:
    gbv_1817571729
    Format: 1 Online-Ressource(XXVII, 853 p. 347 illus., 215 illus. in color.)
    Edition: 1st ed. 2022.
    ISBN: 9783031160141
    Series Statement: Lecture Notes in Artificial Intelligence 13501
    Content: Collective Intelligence and Collective Decision-Making -- Deep Learning Techniques -- Natural Language Processing -- Data Mining and Machine learning -- Knowledge Engineering and Semantic Web -- Computer Vision Techniques -- Social Networks and Intelligent Systems -- Cybersecurity and Internet of Things -- Cooperative Strategies for Decision Making and Optimization -- Computational Intelligence for Digital Content Understanding -- Applications for Industry 4.0.
    Content: This book constitutes the refereed proceedings of the 14th International Conference on Computational Collective Intelligence, ICCCI 2022, held in Hammamet, Tunisia, in September 2022. The 56 full papers and 10 short papers were carefully reviewed and selected from 420 submissions. The papers are grouped in topical sections on collective intelligence and collective decision-making; deep learning techniques; natural language processing; data minning and machine learning; knowledge engineering and semantic web; computer vision techniques; social networks and intelligent systems; cybersecurity and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; applications for industry 4.0.
    Additional Edition: ISBN 9783031160134
    Additional Edition: ISBN 9783031160158
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031160134
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031160158
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages