- Analyzing Embedded AIoT Devices for Deep Learning Purposes
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Analyzing Embedded AIoT Devices for Deep Learning Purposes

  1. Title statementAnalyzing Embedded AIoT Devices for Deep Learning Purposes / aut. Roman Budjač, Martin Bartoň, Peter Schreiber, Martin Skovajsa
    Main entry-name Budjač, Roman, 1994- (Author) - MTF Ústav aplikovanej informatiky, automatizácie a mechatroniky
    Another responsib. Bartoň, Martin, 1994- Z3 (Author) - MTF Ústav aplikovanej informatiky, automatizácie a mechatroniky
    Schreiber, Peter, 1960- Z1 (Author) - MTF Ústav aplikovanej informatiky, automatizácie a mechatroniky
    Skovajsa, Martin (Author)
    NoteA-
    In Artificial Intelligence Trends in Systems [627 s.] / Šilhavý, Radek. -- Cham : Springer Nature, 2022. -- ISBN 978-3-031-09075-2. -- ISSN 2367-3370. -- S. 434-448
    Subj. Headings deep learning
    resource-limited devices
    AIoT
    embedded
    LanguageEnglish
    URLhttps://link.springer.com/chapter/10.1007/978-3-031-09076-9_39
    Document kindRZB - článok zo zborníka
    CategoryAFC - Reports at international scientific conferences
    Category (from 2022)V2 - Vedecký výstup publikačnej činnosti ako časť editovanej knihy alebo zborníka
    Type of documentpríspevok z podujatia
    In databases
    Year2022
    article

    article

Number of the records: 1  

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