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    <journal-meta>
      <journal-id journal-id-type="nlm-ta">REA Press</journal-id>
      <journal-id journal-id-type="publisher-id">null</journal-id>
      <journal-title>REA Press</journal-title><issn pub-type="ppub">3042-1349</issn><issn pub-type="epub">3042-1349</issn><publisher>
      	<publisher-name>REA Press</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">https://doi.org/10.22105/sci.v2i1.32</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Internet of things, Artificial intelligence, AI-driven optimization</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>AI-enhanced IoT architectures for intelligent and sustainable smart city networks</article-title><subtitle>AI-enhanced IoT architectures for intelligent and sustainable smart city networks</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Karimi</surname>
		<given-names>Habibeh </given-names>
	</name>
	<aff>Department of Research Center, Shiroud Municipality, Mazandaran, Iran.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Nozick</surname>
		<given-names>Victoria</given-names>
	</name>
	<aff>Operations and Information Management Group, Aston Business School, Aston University, B4 7ET Birmingham, United Kingdom.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Rasoulpour</surname>
		<given-names>Fatemeh</given-names>
	</name>
	<aff>Morvarid Intelligent Industrial Systems Research Group, Iran.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>03</month>
        <year>2025</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>26</day>
        <month>03</month>
        <year>2025</year>
      </pub-date>
      <volume>2</volume>
      <issue>1</issue>
      <permissions>
        <copyright-statement>© 2025 REA Press</copyright-statement>
        <copyright-year>2025</copyright-year>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.5/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p></license>
      </permissions>
      <related-article related-article-type="companion" vol="2" page="e235" id="RA1" ext-link-type="pmc">
			<article-title>AI-enhanced IoT architectures for intelligent and sustainable smart city networks</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			The emergence of smart cities has necessitated advanced, efficient, and scalable networking solutions capable of managing vast amounts of data generated by the Internet of Things (IoT). Leveraging Artificial Intelligence (AI) alongside IoT infrastructure offers transformative potential in optimizing smart city operations. This paper explores the integration of AI with IoT to enhance networking capabilities for smart cities. It examines AI-driven optimization techniques, potential applications across different urban systems, and the challenges in implementing these technologies. It offers insights into how AI-enhanced IoT networks can support sustainable, resilient, and citizen-centered urban environments.
		</p>
		</abstract>
    </article-meta>
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