Retraction: Influence of the combination of big data technology on the Spark platform with deep learning on elevator safety monitoring efficiency.

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Main Author: PLOS ONE Editors
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0313640
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author PLOS ONE Editors
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publishDate 2024-01-01
publisher Public Library of Science (PLoS)
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spelling doaj-art-26a407ce96e04669b7ba7af3c5cb7de22024-11-19T05:31:25ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-011911e031364010.1371/journal.pone.0313640Retraction: Influence of the combination of big data technology on the Spark platform with deep learning on elevator safety monitoring efficiency.PLOS ONE Editorshttps://doi.org/10.1371/journal.pone.0313640
spellingShingle PLOS ONE Editors
Retraction: Influence of the combination of big data technology on the Spark platform with deep learning on elevator safety monitoring efficiency.
PLoS ONE
title Retraction: Influence of the combination of big data technology on the Spark platform with deep learning on elevator safety monitoring efficiency.
title_full Retraction: Influence of the combination of big data technology on the Spark platform with deep learning on elevator safety monitoring efficiency.
title_fullStr Retraction: Influence of the combination of big data technology on the Spark platform with deep learning on elevator safety monitoring efficiency.
title_full_unstemmed Retraction: Influence of the combination of big data technology on the Spark platform with deep learning on elevator safety monitoring efficiency.
title_short Retraction: Influence of the combination of big data technology on the Spark platform with deep learning on elevator safety monitoring efficiency.
title_sort retraction influence of the combination of big data technology on the spark platform with deep learning on elevator safety monitoring efficiency
url https://doi.org/10.1371/journal.pone.0313640
work_keys_str_mv AT plosoneeditors retractioninfluenceofthecombinationofbigdatatechnologyonthesparkplatformwithdeeplearningonelevatorsafetymonitoringefficiency