<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 | Science Publications</title>
<description>Recently Published | Science Publications</description>
<link>https://thescipub.com/</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.2026.1539.1551"/><rdf:li rdf:resource="https://thescipub/abstract/jcssp.2026.1611.1619"/><rdf:li rdf:resource="https://thescipub/abstract/jcssp.2026.1521.1531"/><rdf:li rdf:resource="https://thescipub/abstract/jcssp.2026.1510.1520"/><rdf:li rdf:resource="https://thescipub/abstract/jcssp.2026.1494.1509"/></rdf:Seq>
</items>
</channel><item rdf:about="https://thescipub/abstract/jcssp.2026.1539.1551">
    <title><![CDATA[MedFusion: A Unified Multimodal Framework for Visual Question Answering and Explainable Medical Recommendation]]></title>
    <link>https://thescipub/abstract/jcssp.2026.1539.1551</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 20 May 2026; <a href="https://thescipub.com/abstract/jcssp.2026.1539.1551">doi:10.3844/jcssp.2026.1539.1551</a></p>In clinical decision-making, the ability to ask visual questions about medical images and receive accurate, personalized, and interpretable recommendations can significantly enhance practitioner suppo...]]></content:encoded>
    <dc:title><![CDATA[MedFusion: A Unified Multimodal Framework for Visual Question Answering and Explainable Medical Recommendation]]></dc:title><dc:creator>Satyajit   Mahapatra</dc:creator><dc:creator>Jibitesh   Mishra</dc:creator><dc:creator>Kumar Janardan Patra</dc:creator><dc:creator>Sanjit Kumar Dash</dc:creator><dc:creator>Aliazar Deneke Deferisha</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.1539.1551</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-05-20; | doi:10.3844/jcssp.2026.1539.1551</dc:source>
    <dc:date>2026-05-20</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.1539.1551</prism:doi>
    <prism:url>https://thescipub/abstract/jcssp.2026.1539.1551</prism:url>
    </item><item rdf:about="https://thescipub/abstract/jcssp.2026.1611.1619">
    <title><![CDATA[Animal Health Prediction Using Hybrid CNN Based BiLSTM Classification Model: A Deep Learning Approach]]></title>
    <link>https://thescipub/abstract/jcssp.2026.1611.1619</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 20 May 2026; <a href="https://thescipub.com/abstract/jcssp.2026.1611.1619">doi:10.3844/jcssp.2026.1611.1619</a></p>Accurate prediction of animal diseases is vital in veterinary medicine, as it can substantially enhance animal health outcomes and mitigate economic losses, making it a critical task that warrants att...]]></content:encoded>
    <dc:title><![CDATA[Animal Health Prediction Using Hybrid CNN Based BiLSTM Classification Model: A Deep Learning Approach]]></dc:title><dc:creator>J.   Rathi</dc:creator><dc:creator>A.    Sumathi</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.1611.1619</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-05-20; | doi:10.3844/jcssp.2026.1611.1619</dc:source>
    <dc:date>2026-05-20</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.1611.1619</prism:doi>
    <prism:url>https://thescipub/abstract/jcssp.2026.1611.1619</prism:url>
    </item><item rdf:about="https://thescipub/abstract/jcssp.2026.1521.1531">
    <title><![CDATA[Improving Clustering Robustness through Fuzzy Ensemble of K-Means and Mean Shift]]></title>
    <link>https://thescipub/abstract/jcssp.2026.1521.1531</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 20 May 2026; <a href="https://thescipub.com/abstract/jcssp.2026.1521.1531">doi:10.3844/jcssp.2026.1521.1531</a></p>Ensemble clustering has emerged as a powerful strategy to improve the robustness and accuracy of unsupervised learning, particularly when individual algorithms struggle with noisy, heterogeneous, or h...]]></content:encoded>
    <dc:title><![CDATA[Improving Clustering Robustness through Fuzzy Ensemble of K-Means and Mean Shift]]></dc:title><dc:creator>LNC. Prakash K.</dc:creator><dc:creator>Palamakula Ramesh Babu</dc:creator><dc:creator>Shaik   Thaseentaj</dc:creator><dc:creator>C. V. Lakshmi Narayna</dc:creator><dc:creator>Ravikiranreddy   Kandadi</dc:creator><dc:creator>Kadiyala   Ramana</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.1521.1531</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-05-20; | doi:10.3844/jcssp.2026.1521.1531</dc:source>
    <dc:date>2026-05-20</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.1521.1531</prism:doi>
    <prism:url>https://thescipub/abstract/jcssp.2026.1521.1531</prism:url>
    </item><item rdf:about="https://thescipub/abstract/jcssp.2026.1510.1520">
    <title><![CDATA[A Systematic Review of Adversarial Attacks: ML Techniques, Classification and Countermeasures]]></title>
    <link>https://thescipub/abstract/jcssp.2026.1510.1520</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 19 May 2026; <a href="https://thescipub.com/abstract/jcssp.2026.1510.1520">doi:10.3844/jcssp.2026.1510.1520</a></p>Machine Learning (ML) and Deep Learning (DL)-based technologies have made significant strides in areas such as computer vision, natural language processing, and autonomous systems. Yet they have bee...]]></content:encoded>
    <dc:title><![CDATA[A Systematic Review of Adversarial Attacks: ML Techniques, Classification and Countermeasures]]></dc:title><dc:creator>Bhavesh Kumar Sharma</dc:creator><dc:creator>Sanatan   Ratna</dc:creator><dc:creator>Rajiv   Kumar</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.1510.1520</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-05-19; | doi:10.3844/jcssp.2026.1510.1520</dc:source>
    <dc:date>2026-05-19</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.1510.1520</prism:doi>
    <prism:url>https://thescipub/abstract/jcssp.2026.1510.1520</prism:url>
    </item><item rdf:about="https://thescipub/abstract/jcssp.2026.1494.1509">
    <title><![CDATA[Optimized Wireless Sensor Network Clustering Using a Hybrid Firefly–Bat Algorithm (HFBA)]]></title>
    <link>https://thescipub/abstract/jcssp.2026.1494.1509</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 19 May 2026; <a href="https://thescipub.com/abstract/jcssp.2026.1494.1509">doi:10.3844/jcssp.2026.1494.1509</a></p>Wireless Sensor Networks (WSNs) are composed of numerous sensor nodes that collaborate to observe and evaluate various environmental parameters, transmitting the data to a central base station. Each n...]]></content:encoded>
    <dc:title><![CDATA[Optimized Wireless Sensor Network Clustering Using a Hybrid Firefly–Bat Algorithm (HFBA)]]></dc:title><dc:creator>J.   Jegan</dc:creator><dc:creator>Senthil kumar P</dc:creator><dc:creator>S.   Saravanakumar</dc:creator><dc:creator>M.   Muthukumar</dc:creator><dc:creator>K.   Sathish</dc:creator><dc:creator>Asha   V</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.1494.1509</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-05-19; | doi:10.3844/jcssp.2026.1494.1509</dc:source>
    <dc:date>2026-05-19</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.1494.1509</prism:doi>
    <prism:url>https://thescipub/abstract/jcssp.2026.1494.1509</prism:url>
    </item></rdf:RDF>