<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.2026.3222.3237"/><rdf:li rdf:resource="https://thescipub/abstract/jcssp.2026.3238.3249"/><rdf:li rdf:resource="https://thescipub/abstract/jcssp.2026.3322.3336"/><rdf:li rdf:resource="https://thescipub/abstract/jcssp.2026.3376.3386"/><rdf:li rdf:resource="https://thescipub/abstract/jcssp.2026.3268.3281"/></rdf:Seq>
</items>
</channel><item rdf:about="https://thescipub/abstract/jcssp.2026.3222.3237">
    <title><![CDATA[Metadata Stewardship and Quality in Telecom Sector]]></title>
    <link>https://thescipub/abstract/jcssp.2026.3222.3237</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 22 October 2026; <a href="https://thescipub.com/abstract/jcssp.2026.3222.3237">doi:10.3844/jcssp.2026.3222.3237</a></p>The spread of the telecom network infrastructure, constellations of satellites and the use of the Internet of Things (IoT) have brought about unprecedented volumes of heterogeneous information which f...]]></content:encoded>
    <dc:title><![CDATA[Metadata Stewardship and Quality in Telecom Sector]]></dc:title><dc:creator>Bhola Gan Chaudhuri</dc:creator><dc:creator>Shalli   Rani</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.3222.3237</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-10-22; | doi:10.3844/jcssp.2026.3222.3237</dc:source>
    <dc:date>2026-10-22</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.3222.3237</prism:doi>
    <prism:url>https://thescipub/abstract/jcssp.2026.3222.3237</prism:url>
    </item><item rdf:about="https://thescipub/abstract/jcssp.2026.3238.3249">
    <title><![CDATA[Image Pre-Processing Techniques to Improve DBT Classification Accuracy With CNN ResNet-50]]></title>
    <link>https://thescipub/abstract/jcssp.2026.3238.3249</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 21 October 2026; <a href="https://thescipub.com/abstract/jcssp.2026.3238.3249">doi:10.3844/jcssp.2026.3238.3249</a></p>Digital Breast Tomosynthesis (DBT) is a three-dimensional imaging technology that is meant to determine breast cancer more accurately than regular mammograms. But low contrast and noise can make DBT i...]]></content:encoded>
    <dc:title><![CDATA[Image Pre-Processing Techniques to Improve DBT Classification Accuracy With CNN ResNet-50]]></dc:title><dc:creator>Qodri   Aziz</dc:creator><dc:creator>Qodri   Aziz</dc:creator><dc:creator>Slamet   Riyadi</dc:creator><dc:creator>Slamet   Riyadi</dc:creator><dc:creator>Suzaimah Binti Ramli</dc:creator><dc:creator>Nurwahyu   Alamsyah</dc:creator><dc:creator>Shofwatul   Uyun</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.3238.3249</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-10-21; | doi:10.3844/jcssp.2026.3238.3249</dc:source>
    <dc:date>2026-10-21</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.3238.3249</prism:doi>
    <prism:url>https://thescipub/abstract/jcssp.2026.3238.3249</prism:url>
    </item><item rdf:about="https://thescipub/abstract/jcssp.2026.3322.3336">
    <title><![CDATA[Probabilistic Learning Models for Secure E-Commerce Transaction Analysis]]></title>
    <link>https://thescipub/abstract/jcssp.2026.3322.3336</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 20 October 2026; <a href="https://thescipub.com/abstract/jcssp.2026.3322.3336">doi:10.3844/jcssp.2026.3322.3336</a></p>The tremendous expansion of e-commerce requires well-developed security mechanisms of transactions coupled with cryptography systems. This paper explores how probabilistic learning algorithms can be u...]]></content:encoded>
    <dc:title><![CDATA[Probabilistic Learning Models for Secure E-Commerce Transaction Analysis]]></dc:title><dc:creator>Ananth Maria Pushpa</dc:creator><dc:creator>S.   Subramaniaan</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.3322.3336</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-10-20; | doi:10.3844/jcssp.2026.3322.3336</dc:source>
    <dc:date>2026-10-20</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.3322.3336</prism:doi>
    <prism:url>https://thescipub/abstract/jcssp.2026.3322.3336</prism:url>
    </item><item rdf:about="https://thescipub/abstract/jcssp.2026.3376.3386">
    <title><![CDATA[Blockchain Integrated Distributed Threshold Elliptic Curve Cryptography Framework for Scalable and Secure Cloud Data Storage]]></title>
    <link>https://thescipub/abstract/jcssp.2026.3376.3386</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 19 October 2026; <a href="https://thescipub.com/abstract/jcssp.2026.3376.3386">doi:10.3844/jcssp.2026.3376.3386</a></p>The development of cloud computing offers scalable processing capabilities, thereby enabling organizations to store and process sensitive data in the cloud. However, it faces crucial security challeng...]]></content:encoded>
    <dc:title><![CDATA[Blockchain Integrated Distributed Threshold Elliptic Curve Cryptography Framework for Scalable and Secure Cloud Data Storage]]></dc:title><dc:creator>Naga Swetha Dhulipudi</dc:creator><dc:creator>Balaji   Savadam</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.3376.3386</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-10-19; | doi:10.3844/jcssp.2026.3376.3386</dc:source>
    <dc:date>2026-10-19</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.3376.3386</prism:doi>
    <prism:url>https://thescipub/abstract/jcssp.2026.3376.3386</prism:url>
    </item><item rdf:about="https://thescipub/abstract/jcssp.2026.3268.3281">
    <title><![CDATA[A Scalable Hybrid CNN-LSTM and SDN Based Architecture for Real-Time DDoS Defence in IoT and Cloud Networks]]></title>
    <link>https://thescipub/abstract/jcssp.2026.3268.3281</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 19 October 2026; <a href="https://thescipub.com/abstract/jcssp.2026.3268.3281">doi:10.3844/jcssp.2026.3268.3281</a></p>Distributed Denial-of-Service (DDoS) is one of the most significant threats to the security of IoT, cloud, and Software-Defined Network (SDN) environments because it can aggravate network unavailabili...]]></content:encoded>
    <dc:title><![CDATA[A Scalable Hybrid CNN-LSTM and SDN Based Architecture for Real-Time DDoS Defence in IoT and Cloud Networks]]></dc:title><dc:creator>Sujit   Sutradhar</dc:creator><dc:creator>Joy Lal Sarkar</dc:creator><dc:creator>Rajesh Kumar Verma</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.3268.3281</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-10-19; | doi:10.3844/jcssp.2026.3268.3281</dc:source>
    <dc:date>2026-10-19</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.3268.3281</prism:doi>
    <prism:url>https://thescipub/abstract/jcssp.2026.3268.3281</prism:url>
    </item></rdf:RDF>