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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">3042-0180</issn><issn pub-type="epub">3042-0180</issn><publisher>
      	<publisher-name>REA Press</publisher-name>
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    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">https://doi.org/10.22105/scfa.v1i3.49</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Load Cell, Internet of things, Load sensing plate, Arduino, Wi-Fi, Internet.</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>AI-Enhanced IoT for Real-Time Urban Waste Management</article-title><subtitle>AI-Enhanced IoT for Real-Time Urban Waste Management</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Kumar</surname>
		<given-names>Shubham </given-names>
	</name>
	<aff>Departmant of Computer Engineering, KIIT (Deemed to Be) University, Bhubaneswar, Odisha, India.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>09</month>
        <year>2024</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>18</day>
        <month>09</month>
        <year>2024</year>
      </pub-date>
      <volume>1</volume>
      <issue>3</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>AI-Enhanced IoT for Real-Time Urban Waste Management</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			The document discusses the automation of waste management systems aimed at promoting cleanliness and hygiene. The act of littering in streets and public spaces is a prevalent issue in many developing nations, leading to environmental harm and several unhygienic conditions. To tackle these challenges, the concept of Smart Netbin has been introduced, which integrates hardware and software technologies by linking a standard dustbin to a Wi-Fi system to offer users complimentary internet access for a limited time. This technology incentivizes individuals to maintain a clean environment, thereby complementing effective waste management in the community. Smart Netbin employs various technologies: 1) it measures the volume of waste disposed, 2) it tracks the movement of the waste, and 3) it transmits necessary signals and connects users to the Wi-Fi network. The proposed system will operate on a client-server model, ensuring a cleaner environment, better health, and a pollution-free community.	
		</p>
		</abstract>
    </article-meta>
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