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      <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">3042-3066</issn><issn pub-type="epub">3042-3066</issn><publisher>
      	<publisher-name>REA Press</publisher-name>
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    <article-meta>
      <article-id pub-id-type="doi">https://doi.org/10.48313/scodm.v2i2.32</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Artificial intelligence, Internet of things, Waste management, Smart cities, Optimization, Sustainability.</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>AI-IoT-Based Optimization Techniques for Smart City Waste Management</article-title><subtitle>AI-IoT-Based Optimization Techniques for Smart City Waste Management</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Tulsyan</surname>
		<given-names>Aditya </given-names>
	</name>
	<aff>School of Computer Science Engineering, KIIT University, Bhubaneswar, India.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>06</month>
        <year>2025</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>08</day>
        <month>06</month>
        <year>2025</year>
      </pub-date>
      <volume>2</volume>
      <issue>2</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-IoT-Based Optimization Techniques for Smart City Waste Management</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			This research investigates the use of AI-IoT optimization methods in managing waste within smart cities. As urban populations increase, efficient waste management becomes vital for ensuring cleanliness, public health, and sustainability. The combination of Artificial Intelligence (AI) and the Internet of Things (IoT) offers innovative approaches to enhance the processes of waste collection, sorting, and disposal. This paper reviews existing applications of AI-IoT, outlines the challenges faced, and suggests solutions to improve system efficiency, decrease costs, and promote environmentally sustainable urban development. The goal of this study is to add to the expanding body of knowledge regarding sustainable waste management strategies in smart cities.
		</p>
		</abstract>
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