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Internet of health things driven deep learning-based system for non-invasive patient discomfort detection using time frame rules and pairwise keypoints distance feature

Author(s):



Medium: journal article
Language(s): English
Published in: Sustainable Cities and Society, , v. 79
Page(s): 103672
DOI: 10.1016/j.scs.2022.103672
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1016/j.scs.2022.103672.
  • About this
    data sheet
  • Reference-ID
    10658517
  • Published on:
    17/02/2022
  • Last updated on:
    17/02/2022
 
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