<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:prism="http://prismstandard.org/namespaces/basic/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/"
xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns="http://purl.org/rss/1.0/" xmlns:admin="http://webns.net/mvcb/">
<channel rdf:about="https://thescipub.com/">
<title>Recently Published | Journal of Computer Science</title>
<description>Recently Published | Journal of Computer Science</description>
<link>https://thescipub.com/jcs</link>
<admin:generatorAgent rdf:resource="https://thescipub.com/"/>
<admin:errorReportsTo rdf:resource="mailto:support@scipub.org"/>
<dc:publisher>Science Publications</dc:publisher>
<dc:language>en</dc:language>
<prism:publicationName>Science Publications</prism:publicationName>
<items>
<rdf:Seq>
<rdf:li rdf:resource="https://thescipub/abstract/jcssp.2026.3361.3375"/><rdf:li rdf:resource="https://thescipub/abstract/jcssp.2026.3348.3360"/><rdf:li rdf:resource="https://thescipub/abstract/jcssp.2026.3204.3221"/><rdf:li rdf:resource="https://thescipub/abstract/jcssp.2026.3015.3026"/><rdf:li rdf:resource="https://thescipub/abstract/jcssp.2026.3082.3103"/></rdf:Seq>
</items>
</channel><item rdf:about="https://thescipub/abstract/jcssp.2026.3361.3375">
    <title><![CDATA[Pandemic Analysis and Preparedness Using a Three Layer Machine Learning Approach]]></title>
    <link>https://thescipub/abstract/jcssp.2026.3361.3375</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 15 October 2026; <a href="https://thescipub.com/abstract/jcssp.2026.3361.3375">doi:10.3844/jcssp.2026.3361.3375</a></p>Outbreak analysis provides research-based information and data to enable scientific decision-making to manage an effective response to a pandemic. Pandemic analysis has its own set of challenges, such...]]></content:encoded>
    <dc:title><![CDATA[Pandemic Analysis and Preparedness Using a Three Layer Machine Learning Approach]]></dc:title><dc:creator>Artika   Singh</dc:creator><dc:creator>Manisha   Jailia</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.3361.3375</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-10-15; | doi:10.3844/jcssp.2026.3361.3375</dc:source>
    <dc:date>2026-10-15</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.3361.3375</prism:doi>
    <prism:url>https://thescipub/abstract/jcssp.2026.3361.3375</prism:url>
    </item><item rdf:about="https://thescipub/abstract/jcssp.2026.3348.3360">
    <title><![CDATA[Explainability Aware Heterogeneous Temporal Graph Transformer for Automated Genetic Disorder Detection from Genomic Data]]></title>
    <link>https://thescipub/abstract/jcssp.2026.3348.3360</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 14 October 2026; <a href="https://thescipub.com/abstract/jcssp.2026.3348.3360">doi:10.3844/jcssp.2026.3348.3360</a></p>Genetic disorders affect millions worldwide, posing major challenges for accurate diagnosis and effective treatments. New developments in genomic technologies, especially Next-Generation Sequencing (N...]]></content:encoded>
    <dc:title><![CDATA[Explainability Aware Heterogeneous Temporal Graph Transformer for Automated Genetic Disorder Detection from Genomic Data]]></dc:title><dc:creator>Puvaneswari   Subramaniapillai</dc:creator><dc:creator>Indirani   Govindasamy</dc:creator><dc:creator>Revathy   Gurumurthy</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.3348.3360</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-10-14; | doi:10.3844/jcssp.2026.3348.3360</dc:source>
    <dc:date>2026-10-14</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.3348.3360</prism:doi>
    <prism:url>https://thescipub/abstract/jcssp.2026.3348.3360</prism:url>
    </item><item rdf:about="https://thescipub/abstract/jcssp.2026.3204.3221">
    <title><![CDATA[Integrating (OLAP) Online Analytical Processing With a Fast Algorithm for Epileptic Seizures Detection]]></title>
    <link>https://thescipub/abstract/jcssp.2026.3204.3221</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 12 October 2026; <a href="https://thescipub.com/abstract/jcssp.2026.3204.3221">doi:10.3844/jcssp.2026.3204.3221</a></p>Epilepsy is a neurological disorder characterized by recurrent seizures, significantly impacting the quality of life of patients. Effective detection and analysis of epileptic seizures are crucial for...]]></content:encoded>
    <dc:title><![CDATA[Integrating (OLAP) Online Analytical Processing With a Fast Algorithm for Epileptic Seizures Detection]]></dc:title><dc:creator>Ilyas   Zidane</dc:creator><dc:creator>Wajih   Rhalem </dc:creator><dc:creator>Nordine   Zidane</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.3204.3221</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-10-12; | doi:10.3844/jcssp.2026.3204.3221</dc:source>
    <dc:date>2026-10-12</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.3204.3221</prism:doi>
    <prism:url>https://thescipub/abstract/jcssp.2026.3204.3221</prism:url>
    </item><item rdf:about="https://thescipub/abstract/jcssp.2026.3015.3026">
    <title><![CDATA[Applying Dempster Shafer Theory and Causal Inference in Investigating Internet of Things Digital Forensic Challenge]]></title>
    <link>https://thescipub/abstract/jcssp.2026.3015.3026</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 10 October 2026; <a href="https://thescipub.com/abstract/jcssp.2026.3015.3026">doi:10.3844/jcssp.2026.3015.3026</a></p>The rapid growth of IoT ecosystems has transformed digital forensics, creating challenges in analyzing distributed, heterogeneous, and uncertain evidence. Conventional forensic methods often struggle ...]]></content:encoded>
    <dc:title><![CDATA[Applying Dempster Shafer Theory and Causal Inference in Investigating Internet of Things Digital Forensic Challenge]]></dc:title><dc:creator>Mohamed   El-Dosuky</dc:creator><dc:creator>Mohamed   El-Dosuky</dc:creator><dc:creator>Sherif K. Ratib</dc:creator><dc:creator>Sherif K. Ratib</dc:creator><dc:creator>Mostafa M. El-Gayar</dc:creator><dc:creator>Mostafa M. El-Gayar</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.3015.3026</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-10-10; | doi:10.3844/jcssp.2026.3015.3026</dc:source>
    <dc:date>2026-10-10</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.3015.3026</prism:doi>
    <prism:url>https://thescipub/abstract/jcssp.2026.3015.3026</prism:url>
    </item><item rdf:about="https://thescipub/abstract/jcssp.2026.3082.3103">
    <title><![CDATA[A Hybrid Machine Learning Approach to Predictive Analytics in Precision Agriculture for Sustainable Crop Optimization]]></title>
    <link>https://thescipub/abstract/jcssp.2026.3082.3103</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 10 October 2026; <a href="https://thescipub.com/abstract/jcssp.2026.3082.3103">doi:10.3844/jcssp.2026.3082.3103</a></p>Driven by data-enabled technologies, precision agriculture is evolving into an innovative way to increase agricultural productivity and sustainability. Conventional agricultural practices face several...]]></content:encoded>
    <dc:title><![CDATA[A Hybrid Machine Learning Approach to Predictive Analytics in Precision Agriculture for Sustainable Crop Optimization]]></dc:title><dc:creator>Jignesh   Kariya</dc:creator><dc:creator>Pankaj   Mudholkar</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.3082.3103</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-10-10; | doi:10.3844/jcssp.2026.3082.3103</dc:source>
    <dc:date>2026-10-10</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.3082.3103</prism:doi>
    <prism:url>https://thescipub/abstract/jcssp.2026.3082.3103</prism:url>
    </item></rdf:RDF>