The 2021 International Conference on...
SPIoT (Conference) (2021 :)

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  • The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy = SPIoT-2021.. Volume 1 /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy/ edited by John Macintyre, Jinghua Zhao, Xiaomeng Ma.
    Reminder of title: SPIoT-2021.
    remainder title: SPIoT-2021
    other author: Macintyre, John.
    corporate name: SPIoT (Conference)
    Published: Cham :Springer International Publishing : : 2022.,
    Description: xxi, 1154 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: Application of Artificial Intelligence in Arrangement Creation -- Automatic Segmentation for Retinal Vessel Using Concatenate UNet++ -- Experimental Analysis of Mandarin Tone Pronunciation of Tibetan College Students for Artificial Intelligence Speech Recognition -- Exploration of Paths for Artificial Intelligence Technology to Promote Economic Development -- Influence of RPA Financial Robot on Financial Accounting and its Countermeasures -- Application of Artificial Intelligence Technology in English Online Learning Platform -- Spectral Identification Model of NIR Origin Based on Deep Extreme Learning Machine -- Frontier Application and Development Trend of Artificial Intelligence in New Media in the AI Era -- Analysis on the Application of Machine Learning Stock Selection Algorithm in the Financial Field -- Default Risk Prediction Based on Machine Learning under Big Data Analysis Technology -- Application of Intelligent Detection Technology and Machine Learning Algorithm in Music Intelligent System -- Application of 3D Computer Aided System in Dance Creation and Learning -- Data Selection and Machine Learning Algorithm Application under the Background of Big Data.
    Contained By: Springer Nature eBook
    Subject: Internet of things - Congresses. - Security measures -
    Online resource: https://doi.org/10.1007/978-3-030-89508-2
    ISBN: 9783030895082
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