  <?xml version="1.0"?>
<journal>
 <journal_metadata>
  <full_title>Journal of Intelligent Systems and Internet of Things</full_title>
  <abbrev_title>JISIoT</abbrev_title>
  <issn media_type="print">2690-6791</issn>
  <issn media_type="electronic">2769-786X</issn>
  <doi_data>
   <doi>10.54216/JISIoT</doi>
   <resource>https://www.americaspg.com/journals/show/2890</resource>
  </doi_data>
 </journal_metadata>
 <journal_issue>
  <publication_date media_type="print">
   <year>2019</year>
  </publication_date>
  <publication_date media_type="online">
   <year>2019</year>
  </publication_date>
 </journal_issue>
 <journal_article publication_type="full_text">
  <titles>
   <title>Systematic Analysis based on Conflux of Machine Learning and Internet of Things using Bibliometric analysis</title>
  </titles>
  <contributors>
   <organization sequence="first" contributor_role="author">Department of Computer Science &amp; Applications, Maharshi Dayanand University,  Rohtak, Haryana, India.</organization>
   <person_name sequence="first" contributor_role="author">
    <given_name>Nasib</given_name>
    <surname>Nasib</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Department of Information Technology, University of the Cumberlands, Williamsburg, KY, USA</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Santosh Reddy</given_name>
    <surname>Addula</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Director, Radharaman Engineering College Bhopal, Madhya Pradesh, India.</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Anurag</given_name>
    <surname>Jain</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Department of Computer Science &amp; Applications, Maharshi Dayanand University,  Rohtak, Haryana, India.</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Preeti</given_name>
    <surname>Gulia</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Department of Computer Science &amp; Applications, Maharshi Dayanand University,  Rohtak, Haryana, India.</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Nasib Singh</given_name>
    <surname>Gill</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Department of IT, College of Computing and Information Sciences, University of Technology and Applied Sciences, Shinas campus, Oman.</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Bala Dhandayuthapani.</given_name>
    <surname>V.</surname>
   </person_name>
  </contributors>
  <jats:abstract xml:lang="en">
   <jats:p>IoT devices produce a gigantic amount of data and it has grown exponentially in previous years. To get insights from this multi-property data, machine learning has proved its worth across the industry. The present paper provides an overview of the variety of data collected through IoT devices. The conflux of machine learning with IoT is also explained using the bibliometric analysis technique. This paper presents a systematic literature review using bibliometric analysis of the data collected from Scopus and WoS. Academic literature for the last six years is used to explore research insights, patterns, and trends in the field of IoT using machine learning. This study analyses and assesses research for the last six years using machine learning in seven IoT domains like Healthcare, Smart City, Energy systems, Industrial IoT, Security, Climate, and Agriculture. The author’s and country-wise citation analysis is also presented in this study. VOSviewer version 1.6.18 is used to provide a graphical representation of author citation analysis. This study may be quite helpful for researchers and practitioners to develop a blueprint of machine learning techniques in various IoT domains.</jats:p>
  </jats:abstract>
  <publication_date media_type="print">
   <year>2024</year>
  </publication_date>
  <publication_date media_type="online">
   <year>2024</year>
  </publication_date>
  <pages>
   <first_page>196</first_page>
   <last_page>224</last_page>
  </pages>
  <doi_data>
   <doi>10.54216/JISIoT.130115</doi>
   <resource>https://www.americaspg.com/articleinfo/18/show/2890</resource>
  </doi_data>
 </journal_article>
</journal>
