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<title>Volume 20, Issue 5 (2024) | Journal of Computer Science</title>
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    <title><![CDATA[COVID-19 in the Era of Artificial Intelligence: Existing Technologies and A Strategic Model for Mitigating Future Pandemics]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.465.486</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 20 February 2024; <a href="https://thescipub.com/jcs/jcssp.2024.465.486">doi:10.3844/jcssp.2024.465.486</a></p>Pandemics have existed since the existence of life and will continue as life continues. Throughout many of the previous pandemics, what played a major role in decreasing their severity is how we mitig...]]></content:encoded>
    <dc:title><![CDATA[COVID-19 in the Era of Artificial Intelligence: Existing Technologies and A Strategic Model for Mitigating Future Pandemics]]></dc:title><dc:creator>Bandar Mzel Alshammari</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.465.486</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-02-20; | doi:10.3844/jcssp.2024.465.486</dc:source>
    <dc:date>2024-02-20</dc:date>
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    <title><![CDATA[Enhancing Semantic Web Retrieval Through Ontology-Driven Feature Extraction: A Novel Proposition]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.487.494</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 23 February 2024; <a href="https://thescipub.com/jcs/jcssp.2024.487.494">doi:10.3844/jcssp.2024.487.494</a></p>Web images represent unstructured data sets which often lead to challenges when users try to locate distinct images via text-based searches on the web. Such difficulties stem from different factors, e...]]></content:encoded>
    <dc:title><![CDATA[Enhancing Semantic Web Retrieval Through Ontology-Driven Feature Extraction: A Novel Proposition]]></dc:title><dc:creator>Meer Hazar Khan</dc:creator><dc:creator>Muhammad Imran Sharif</dc:creator><dc:creator>Mehwish  Mehmood</dc:creator><dc:creator>Fernaz Narin Nur</dc:creator><dc:creator>Md Palash Uddin</dc:creator><dc:creator>Zahid  Akhtar</dc:creator><dc:creator>Kamran  Siddique</dc:creator><dc:creator>Sadia Waheed Awan</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.487.494</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-02-23; | doi:10.3844/jcssp.2024.487.494</dc:source>
    <dc:date>2024-02-23</dc:date>
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    <title><![CDATA[Machine Learning Approaches for the Prediction of Gas Turbine Transients]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.495.510</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 28 February 2024; <a href="https://thescipub.com/jcs/jcssp.2024.495.510">doi:10.3844/jcssp.2024.495.510</a></p>Gas Turbine (GT) emergency shutdowns can lead to energy production interruption and may also reduce the lifespan of a turbine. In order to remain competitive in the market, it is necessary to improve ...]]></content:encoded>
    <dc:title><![CDATA[Machine Learning Approaches for the Prediction of Gas Turbine Transients]]></dc:title><dc:creator>Arnaud Nguembang Fadja</dc:creator><dc:creator>Giuseppe  Cota</dc:creator><dc:creator>Francesco  Bertasi</dc:creator><dc:creator>Fabrizio  Riguzzi</dc:creator><dc:creator>Enzo  Losi</dc:creator><dc:creator>Lucrezia  Manservigi</dc:creator><dc:creator>Mauro  Venturini</dc:creator><dc:creator>Giovanni  Bechini</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.495.510</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-02-28; | doi:10.3844/jcssp.2024.495.510</dc:source>
    <dc:date>2024-02-28</dc:date>
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    <prism:doi>10.3844/jcssp.2024.495.510</prism:doi>
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    <title><![CDATA[Non-Hodgkin Lymphoma Risk Grading Through the Pathological Data by Using the Optimized Convolutional Lymphnet Model]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.511.521</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 28 February 2024; <a href="https://thescipub.com/jcs/jcssp.2024.511.521">doi:10.3844/jcssp.2024.511.521</a></p>Diagnosing Non-Hodgkin Lymphoma (NHL) is difficult and often requires specialised training and expertise as well as extensive morphological investigation and, in certain cases, costly immunohistologic...]]></content:encoded>
    <dc:title><![CDATA[Non-Hodgkin Lymphoma Risk Grading Through the Pathological Data by Using the Optimized Convolutional Lymphnet Model]]></dc:title><dc:creator>Sivaranjini  Nagarajan</dc:creator><dc:creator>Gomathi  Muthuswamy</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.511.521</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-02-28; | doi:10.3844/jcssp.2024.511.521</dc:source>
    <dc:date>2024-02-28</dc:date>
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    <prism:doi>10.3844/jcssp.2024.511.521</prism:doi>
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    <title><![CDATA[Framework for the Adaptive Learning of Higher Education Students in Virtual Classes in Peru Using CRISP-DM and Machine Learning]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.522.534</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 26 February 2024; <a href="https://thescipub.com/jcs/jcssp.2024.522.534">doi:10.3844/jcssp.2024.522.534</a></p>During the COVID-19 pandemic, virtual education played a significant role around the world. In post-pandemic Peru, higher education institutions did not entirely dismiss the online education modality....]]></content:encoded>
    <dc:title><![CDATA[Framework for the Adaptive Learning of Higher Education Students in Virtual Classes in Peru Using CRISP-DM and Machine Learning]]></dc:title><dc:creator>Maryori  Bautista</dc:creator><dc:creator>Sebastian  Alfaro</dc:creator><dc:creator>Lenis  Wong</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.522.534</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-02-26; | doi:10.3844/jcssp.2024.522.534</dc:source>
    <dc:date>2024-02-26</dc:date>
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    <prism:doi>10.3844/jcssp.2024.522.534</prism:doi>
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    <title><![CDATA[Sentence Classification Using Attention Model for E-Commerce Product Review]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.535.547</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 28 February 2024; <a href="https://thescipub.com/jcs/jcssp.2024.535.547">doi:10.3844/jcssp.2024.535.547</a></p>The importance of aspect extraction in text classification, particularly in the e-commerce sector. E-commerce platforms generate vast amounts of textual data, such as comments, product descriptions, a...]]></content:encoded>
    <dc:title><![CDATA[Sentence Classification Using Attention Model for E-Commerce Product Review]]></dc:title><dc:creator>Nagendra  N</dc:creator><dc:creator>Chandra  J</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.535.547</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-02-28; | doi:10.3844/jcssp.2024.535.547</dc:source>
    <dc:date>2024-02-28</dc:date>
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    <prism:doi>10.3844/jcssp.2024.535.547</prism:doi>
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    <title><![CDATA[Application of Unimodular Hill Cipher and RSA Methods to Text Encryption Algorithms Using Python]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.548.563</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 1 March 2024; <a href="https://thescipub.com/jcs/jcssp.2024.548.563">doi:10.3844/jcssp.2024.548.563</a></p>Text encryption is one of the techniques used to maintain the confidentiality of information in digital communications. In this study, we propose to apply a combination of the Unimodular Hill Cipher a...]]></content:encoded>
    <dc:title><![CDATA[Application of Unimodular Hill Cipher and RSA Methods to Text Encryption Algorithms Using Python]]></dc:title><dc:creator>Samsul  Arifin</dc:creator><dc:creator>Dwi  Wijonarko</dc:creator><dc:creator>  Suwarno</dc:creator><dc:creator>Edwin Kristanto Sijabat</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.548.563</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-03-01; | doi:10.3844/jcssp.2024.548.563</dc:source>
    <dc:date>2024-03-01</dc:date>
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    <prism:doi>10.3844/jcssp.2024.548.563</prism:doi>
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    <title><![CDATA[Discrete Shearlet Transform and Lempel-Ziv Welch Coding for Lossless Fingerprint Image Compression]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.564.573</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 5 March 2024; <a href="https://thescipub.com/jcs/jcssp.2024.564.573">doi:10.3844/jcssp.2024.564.573</a></p>Image compression is a crucial task in image processing and in the process of sending and receiving files. There is a need for effective techniques for image compression as the raw images require larg...]]></content:encoded>
    <dc:title><![CDATA[Discrete Shearlet Transform and Lempel-Ziv Welch Coding for Lossless Fingerprint Image Compression]]></dc:title><dc:creator>Nahidah A. Kadim</dc:creator><dc:creator>Shawkat K. Guirguis</dc:creator><dc:creator>Hend A. Elsayed</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.564.573</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-03-05; | doi:10.3844/jcssp.2024.564.573</dc:source>
    <dc:date>2024-03-05</dc:date>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.574.584">
    <title><![CDATA[Papers Mentioning Things Board: A Systematic Mapping Study]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.574.584</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 5 March 2024; <a href="https://thescipub.com/jcs/jcssp.2024.574.584">doi:10.3844/jcssp.2024.574.584</a></p>In a previous article, we conducted a Systematic Mapping Study (SMS) devoted to identifying the open-source IoT platform that nowadays offers the most features as well as adequate documentation and wh...]]></content:encoded>
    <dc:title><![CDATA[Papers Mentioning Things Board: A Systematic Mapping Study]]></dc:title><dc:creator>Paolino  Di Felice</dc:creator><dc:creator>Gaetanino  Paolone</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.574.584</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-03-05; | doi:10.3844/jcssp.2024.574.584</dc:source>
    <dc:date>2024-03-05</dc:date>
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    <prism:doi>10.3844/jcssp.2024.574.584</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.585.593">
    <title><![CDATA[Enhanced Postoperative Brain MRI Segmentation with Automated Skull Removal and Resection Cavity Analysis]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.585.593</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 19 March 2024; <a href="https://thescipub.com/jcs/jcssp.2024.585.593">doi:10.3844/jcssp.2024.585.593</a></p>Brain tumors present a significant medical challenge, often necessitating surgical intervention for treatment. In the context of postoperative brain MRI, the primary focus is on the resection cavity, ...]]></content:encoded>
    <dc:title><![CDATA[Enhanced Postoperative Brain MRI Segmentation with Automated Skull Removal and Resection Cavity Analysis]]></dc:title><dc:creator>Sobha Xavier P.</dc:creator><dc:creator>Sathish P. K.</dc:creator><dc:creator>Raju  G.</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.585.593</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-03-19; | doi:10.3844/jcssp.2024.585.593</dc:source>
    <dc:date>2024-03-19</dc:date>
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