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  <doi_batch_id>aspg-18-2998-1792581955</doi_batch_id>
  <timestamp>20261021112555</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
   <email_address>admin@americaspg.com</email_address>
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  <registrant>American Scientific Publishing Group</registrant>
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  <journal>
   <journal_metadata language="en">
    <full_title>Journal of Intelligent Systems and Internet of Things</full_title>
    <abbrev_title>JISIoT</abbrev_title>
    <issn media_type="print">2769-786X</issn>
    <issn media_type="electronic">2690-6791</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <journal_volume>
     <volume>13</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>An effective Web System for Weather monitoring using Artificial Neural Network Based on Internet of Things and Cloud Computing</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Ebtehal Akeel</given_name>
      <surname>Hamed</surname>
      <affiliations>
       <institution>
        <institution_name>College of Physical Education and Sport Sciences, Al Qasim Green University, Babylon, 51013, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Nahla Ibraheem</given_name>
      <surname>Jabbar</surname>
      <affiliations>
       <institution>
        <institution_name>Babylon University, Collage of engineering, Babylon, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Zaid Th</given_name>
      <surname>Hassan</surname>
      <affiliations>
       <institution>
        <institution_name>Reconstruction and Projects Department, University of Baghdad, Baghdad, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Refed Adnan</given_name>
      <surname>Jaleel</surname>
      <affiliations>
       <institution>
        <institution_name>Info. &amp; Comm. Engineering, Al-Nahrain University, Baghdad, Iraq; Commission of Care for Persons with Disabilities and Special Needs, Ministry of Labor and Social Affairs, Baghdad, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>This research presents an effective web system for weather monitoring based on the Internet of Things (IoT) and cloud computing. The three primary parts of the system are an online application, a cloud platform, and Internet of Things-based weather stations. Periodically, IoT-based weather stations gather meteorological data and send it to a cloud platform. The ANN model can access the meteorological data that is stored in a database by the cloud platform. ANN model utilizes the meteorological data to produce predictions for several weather factors. The web application gives users access to real-time weather data and forecasts.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <pages>
     <first_page>141</first_page>
     <last_page>149</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">2998</item_number>
    </publisher_item>
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     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
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     <doi>10.54216/JISIoT.130211</doi>
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