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Posture detection of smartphone users using deep learning

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Bibliographic Details
Main Author: Tan, Song Lim
Format: Final Year Project / Dissertation / Thesis
Published: 2018
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utar.edu.my/2852/1/CS%2D2018%2D1402915%2D1.pdf
http://eprints.utar.edu.my/2852/
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spelling my-utar-eprints.28522018-08-27T08:50:18Z Posture detection of smartphone users using deep learning Tan, Song Lim QA75 Electronic computers. Computer science 2018-04-23 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/2852/1/CS%2D2018%2D1402915%2D1.pdf Tan, Song Lim (2018) Posture detection of smartphone users using deep learning. Final Year Project, UTAR. http://eprints.utar.edu.my/2852/
institution Universiti Tunku Abdul Rahman
building UTAR Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tunku Abdul Rahman
content_source UTAR Institutional Repository
url_provider http://eprints.utar.edu.my
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Tan, Song Lim
Posture detection of smartphone users using deep learning
format Final Year Project / Dissertation / Thesis
author Tan, Song Lim
author_facet Tan, Song Lim
author_sort Tan, Song Lim
title Posture detection of smartphone users using deep learning
title_short Posture detection of smartphone users using deep learning
title_full Posture detection of smartphone users using deep learning
title_fullStr Posture detection of smartphone users using deep learning
title_full_unstemmed Posture detection of smartphone users using deep learning
title_sort posture detection of smartphone users using deep learning
publishDate 2018
url http://eprints.utar.edu.my/2852/1/CS%2D2018%2D1402915%2D1.pdf
http://eprints.utar.edu.my/2852/
_version_ 1646031025394941952
score 13.18916

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