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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">3042-0199</issn><issn pub-type="epub">3042-0199</issn><publisher>
      	<publisher-name>REA Press</publisher-name>
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    <article-meta>
      <article-id pub-id-type="doi">https://doi.org/10.22105/opt.v1i2.62</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>AI, IoT, Smart cities, Water resource management, Predictive analytics, Real-time monitoring, Urban infrastructure.</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>Smart Urban Water Management: Integrating AI and IoT for Optimization and Waste Reduction</article-title><subtitle>Smart Urban Water Management: Integrating AI and IoT for Optimization and Waste Reduction</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Ritankar </surname>
		<given-names>Das </given-names>
	</name>
	<aff>School of Computer Engineering, KIIT (Deemed to Be) University, Bhubaneswar-751024, Odisha, India.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>11</month>
        <year>2024</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>23</day>
        <month>11</month>
        <year>2024</year>
      </pub-date>
      <volume>1</volume>
      <issue>2</issue>
      <permissions>
        <copyright-statement>© 2024 REA Press</copyright-statement>
        <copyright-year>2024</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>Smart Urban Water Management: Integrating AI and IoT for Optimization and Waste Reduction</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			The management of water resources is becoming more intricate as urban areas grow and the demand for water increases. This study examines how the combination of Artificial Intelligence (AI) and Internet of Things (IoT) technologies can deliver innovative solutions for smart city water management. IoT devices facilitate the real-time monitoring of water systems, whereas AI aids in analyzing extensive data for tasks such as predictive maintenance, leak detection, and demand forecasting. By enhancing water distribution efficiency and reducing waste, AI and IoT present groundbreaking opportunities in urban water resource management. The study outlines the technical frameworks, primary applications, challenges, and future prospects of AI and IoT within this domain.
		</p>
		</abstract>
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