AI-driven adaptive reliable and sustainable approach for internet of things enabled healthcare syste...
AI-driven adaptive reliable and sustainable approach for internet of things enabled healthcare system
About this item
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Author / Creator
Zahid, Noman , Sodhro, Ali Hassan , Kamboh, Usman Rauf , Alkhayyat, Ahmed , Wang, Lei , Department of Computer Science , Avdelningen för datavetenskap , Högskolan Kristianstad , Kristianstad University , Research environment of Computer science , Fakulteten för naturvetenskap and Faculty of Natural Science
Publisher
United States: AIMS Press
Journal title
Language
English
Formats
Publication information
Publisher
United States: AIMS Press
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Scope and Contents
Contents
Artificial Intelligence (AI) driven adaptive techniques are viable to optimize the resources in the Internet of Things (IoT) enabled wearable healthcare devices. Due to the miniature size and ability of wireless data transfer, Body Sensor Networks (BSNs) have become the center of attention in current medical media technologies. For a long-term and...
Alternative Titles
Full title
AI-driven adaptive reliable and sustainable approach for internet of things enabled healthcare system
Authors, Artists and Contributors
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_2473a379f9d24188b45dcb5836331ab3
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2473a379f9d24188b45dcb5836331ab3
Other Identifiers
ISSN
1551-0018,1547-1063
E-ISSN
1551-0018
DOI
10.3934/mbe.2022182
