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<title>Volume 21, Issue 8 (2025) | Journal of Computer Science</title>
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    <title><![CDATA[ Metaverse Tourism Development: Accessible Tourism Banyak Island Aceh Using Immersive Technology Based on Mixed Reality]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1741.1748</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 26 August 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1741.1748">doi:10.3844/jcssp.2025.1741.1748</a></p>Tourism has entered a new era with the advent of the Metaverse, leading to the emergence of a concept known as Metaverse Tourism. Metaverse tourism offers a new dimension to traveling, enabling virtua...]]></content:encoded>
    <dc:title><![CDATA[ Metaverse Tourism Development: Accessible Tourism Banyak Island Aceh Using Immersive Technology Based on Mixed Reality]]></dc:title><dc:creator>Dodi  Siregar</dc:creator><dc:creator>Septiana Dewi Andriana</dc:creator><dc:creator>Tengku Mohd Diansyah</dc:creator><dc:creator>Dody   Hidayat</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1741.1748</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-08-26; | doi:10.3844/jcssp.2025.1741.1748</dc:source>
    <dc:date>2025-08-26</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1741.1748</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1749.1759">
    <title><![CDATA[Intelligent Intrusion Detection System Using RF, SVM, and DT: A Comparison-Based KDD Data Set]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1749.1759</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 28 August 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1749.1759">doi:10.3844/jcssp.2025.1749.1759</a></p>The rapid growth of technology has brought about many advantages, but has also made networks more susceptible to security threats. Intrusion Detection Systems (IDS) play a vital role in protecting com...]]></content:encoded>
    <dc:title><![CDATA[Intelligent Intrusion Detection System Using RF, SVM, and DT: A Comparison-Based KDD Data Set]]></dc:title><dc:creator>Walaa Hassan Elashmawi</dc:creator><dc:creator>Alaa   Sheta</dc:creator><dc:creator>Ahmad   Al-Qerem</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1749.1759</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-08-28; | doi:10.3844/jcssp.2025.1749.1759</dc:source>
    <dc:date>2025-08-28</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1749.1759</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1760.1771">
    <title><![CDATA[An Evolution Framework for Evaluating Intelligent Spectrum Sensing Mechanisms in Cognitive Radio]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1760.1771</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 4 September 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1760.1771">doi:10.3844/jcssp.2025.1760.1771</a></p>Cognitive radio technology has advanced to address the challenge of limited spectrum availability by employing spectrum sensing techniques. This process is framed as a detection problem involving two ...]]></content:encoded>
    <dc:title><![CDATA[An Evolution Framework for Evaluating Intelligent Spectrum Sensing Mechanisms in Cognitive Radio]]></dc:title><dc:creator>Archana   Krishnamuthy</dc:creator><dc:creator>Sudhindra Kumbhashi Rajgopal</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1760.1771</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-09-04; | doi:10.3844/jcssp.2025.1760.1771</dc:source>
    <dc:date>2025-09-04</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1760.1771</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1772.1784">
    <title><![CDATA[Automating Paddy Crop Disease Classification With Deep Learning Models]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1772.1784</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 1 September 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1772.1784">doi:10.3844/jcssp.2025.1772.1784</a></p>Rice is a staple food crop for more than 10 countries. High consumption of rice demands better yield of crop. Timely disease diagnosis in paddy is fundamental to preventing yield losses and ensuring a...]]></content:encoded>
    <dc:title><![CDATA[Automating Paddy Crop Disease Classification With Deep Learning Models]]></dc:title><dc:creator>Shiva   Shankar J</dc:creator><dc:creator>S.   Palanivel </dc:creator><dc:creator>S. China Venkateswarlu</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1772.1784</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-09-01; | doi:10.3844/jcssp.2025.1772.1784</dc:source>
    <dc:date>2025-09-01</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1772.1784</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.1772.1784</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1785.1794">
    <title><![CDATA[Twitter Sentiment Analysis Using Machine Learning and Deep Learning Techniques]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1785.1794</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 1 September 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1785.1794">doi:10.3844/jcssp.2025.1785.1794</a></p>This research investigates the use of Machine Learning (ML) and Deep Learning, including BiLSTM approaches, for Sentiment Analysis (SA) of consumer reviews on social media sites. Businesses are increa...]]></content:encoded>
    <dc:title><![CDATA[Twitter Sentiment Analysis Using Machine Learning and Deep Learning Techniques]]></dc:title><dc:creator>Safa Khalid  Al Sarayrah</dc:creator><dc:creator>Noor Mahmoud Alkudah</dc:creator><dc:creator>Hesham Yousef  Al-kharabsheh</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1785.1794</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-09-01; | doi:10.3844/jcssp.2025.1785.1794</dc:source>
    <dc:date>2025-09-01</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1785.1794</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.1785.1794</prism:url>
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    <title><![CDATA[PHASEY: A Contrastive Learning Approach for Enhanced Human Gait Phases Recognition]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1795.1810</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 16 September 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1795.1810">doi:10.3844/jcssp.2025.1795.1810</a></p>Human gait has gained much attention in behavioral biometrics as it possesses unique and distinctive characteristics. Gait phases, which describe the different patterns of human walking, are significa...]]></content:encoded>
    <dc:title><![CDATA[PHASEY: A Contrastive Learning Approach for Enhanced Human Gait Phases Recognition]]></dc:title><dc:creator>    Urvashi</dc:creator><dc:creator>Deepak   Kumar</dc:creator><dc:creator>Vinay   Kukreja</dc:creator><dc:creator>Ayush   Dogra</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1795.1810</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-09-16; | doi:10.3844/jcssp.2025.1795.1810</dc:source>
    <dc:date>2025-09-16</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1795.1810</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.1795.1810</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1811.1818">
    <title><![CDATA[Crop Yield Prediction in Niger Using Machine Learning Techniques]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1811.1818</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 16 September 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1811.1818">doi:10.3844/jcssp.2025.1811.1818</a></p>Agriculture is the most impactful sector on Niger's economic growth. Stresses related to climate change and the environment are leading to a continuous decline in crop yield. Accurate crop yield forec...]]></content:encoded>
    <dc:title><![CDATA[Crop Yield Prediction in Niger Using Machine Learning Techniques]]></dc:title><dc:creator>Mahaman Lawali Inoussa Garba</dc:creator><dc:creator>Naroua   Harouna</dc:creator><dc:creator>Chaibou   Kadri</dc:creator><dc:creator>Maman Aminou Ali</dc:creator><dc:creator>Hannatou   Moussa</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1811.1818</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-09-16; | doi:10.3844/jcssp.2025.1811.1818</dc:source>
    <dc:date>2025-09-16</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1811.1818</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.1811.1818</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1819.1833">
    <title><![CDATA[Person Re-Identification From Video Surveillance Systems Using Artificial Intelligence Methods]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1819.1833</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 19 September 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1819.1833">doi:10.3844/jcssp.2025.1819.1833</a></p>The study explores use of deep learning models in person re identification, leveraging the advancements made in face recognition however the abundance of model choices presents a challenge in selectin...]]></content:encoded>
    <dc:title><![CDATA[Person Re-Identification From Video Surveillance Systems Using Artificial Intelligence Methods]]></dc:title><dc:creator>Revathi Lavanya Baggam</dc:creator><dc:creator>Vatsavayi Valli Kumari</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1819.1833</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-09-19; | doi:10.3844/jcssp.2025.1819.1833</dc:source>
    <dc:date>2025-09-19</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1819.1833</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.1819.1833</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1834.1844">
    <title><![CDATA[Comparative Analysis of Binary Patterns Pyramid and Gabor Filters for Machine Learning-Based Nail Disease Detection]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1834.1844</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 2 October 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1834.1844">doi:10.3844/jcssp.2025.1834.1844</a></p>Nail diseases, including Onychomycosis and Psoriasis, are common conditions that pose diagnostic challenges due to subtle clinical presentations and reliance on invasive methods. This study investigat...]]></content:encoded>
    <dc:title><![CDATA[Comparative Analysis of Binary Patterns Pyramid and Gabor Filters for Machine Learning-Based Nail Disease Detection]]></dc:title><dc:creator>Jagadeeswari  Boopalan</dc:creator><dc:creator>Maruthu Perumal Sabtharishi</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1834.1844</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-10-02; | doi:10.3844/jcssp.2025.1834.1844</dc:source>
    <dc:date>2025-10-02</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1834.1844</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.1834.1844</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1845.1854">
    <title><![CDATA[User Factors Towards Purchasing Attitudes via E-Commerce in Tangerang City]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1845.1854</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 8 October 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1845.1854">doi:10.3844/jcssp.2025.1845.1854</a></p>Advances in information technology have made the use of the internet a primary need for society, especially in the context of economics, such as e-commerce. Interest in online shopping is increasing, ...]]></content:encoded>
    <dc:title><![CDATA[User Factors Towards Purchasing Attitudes via E-Commerce in Tangerang City]]></dc:title><dc:creator>  Veronica</dc:creator><dc:creator>Julio Evan Desnito</dc:creator><dc:creator>Muhaimin Sasni Arita</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1845.1854</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-10-08; | doi:10.3844/jcssp.2025.1845.1854</dc:source>
    <dc:date>2025-10-08</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1845.1854</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.1845.1854</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1855.1871">
    <title><![CDATA[Enhancing Sistem Komunikasi Markas (Siskomma) in IS/IT Architecture Planning to Face Modern Warfare: A TOGAF Based Approach for National Defense Data Integration in the Indonesian Army]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1855.1871</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 24 November 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1855.1871">doi:10.3844/jcssp.2025.1855.1871</a></p>In the era of modern warfare, effective Information Systems (IS) and Information Technology (IT) architecture planning are essential for the Indonesian Army to maintain a competitive edge. This paper ...]]></content:encoded>
    <dc:title><![CDATA[Enhancing Sistem Komunikasi Markas (Siskomma) in IS/IT Architecture Planning to Face Modern Warfare: A TOGAF Based Approach for National Defense Data Integration in the Indonesian Army]]></dc:title><dc:creator>Yosua Dwimaryanto Budi Prawiro</dc:creator><dc:creator>Nilo   Legowo</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1855.1871</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-11-24; | doi:10.3844/jcssp.2025.1855.1871</dc:source>
    <dc:date>2025-11-24</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1855.1871</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.1855.1871</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1872.1888">
    <title><![CDATA[ Unleashing the Power of Image Denoising: A Comprehensive Review of Classical to Deep Learning Methods]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1872.1888</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 8 October 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1872.1888">doi:10.3844/jcssp.2025.1872.1888</a></p>Image denoising is a vital step in many image processing and computer vision professions that aims to improve picture quality by decreasing noise while maintaining important image information. In this...]]></content:encoded>
    <dc:title><![CDATA[ Unleashing the Power of Image Denoising: A Comprehensive Review of Classical to Deep Learning Methods]]></dc:title><dc:creator>Archana   Saini</dc:creator><dc:creator>Ayush   Dogra</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1872.1888</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-10-08; | doi:10.3844/jcssp.2025.1872.1888</dc:source>
    <dc:date>2025-10-08</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1872.1888</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1889.1896">
    <title><![CDATA[Optimized Feature Reduction Techniques for Enhanced Network Threat Detection in Wireless Sensor Networks]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1889.1896</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 10 October 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1889.1896">doi:10.3844/jcssp.2025.1889.1896</a></p>The security of Wireless Sensor Networks (WSNs) is currently seriously threatened by numerous threats. Consequently, a number of applications are offered to regulate data and information sharing along...]]></content:encoded>
    <dc:title><![CDATA[Optimized Feature Reduction Techniques for Enhanced Network Threat Detection in Wireless Sensor Networks]]></dc:title><dc:creator>Bikash   Kalita</dc:creator><dc:creator>Satyajit   Sarmah</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1889.1896</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-10-10; | doi:10.3844/jcssp.2025.1889.1896</dc:source>
    <dc:date>2025-10-10</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1889.1896</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1897.1907">
    <title><![CDATA[Assessing Bi-LSTM Model’s Performance in Identifying AI Generated Text in Digital Media]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1897.1907</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 8 October 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1897.1907">doi:10.3844/jcssp.2025.1897.1907</a></p>The rapid growth of AI-generated content from ChatGPT, Gemini, and many others poses significant challenges in digital media. There are increasing instances of text generated by machine learning model...]]></content:encoded>
    <dc:title><![CDATA[Assessing Bi-LSTM Model’s Performance in Identifying AI Generated Text in Digital Media]]></dc:title><dc:creator>Tinashe Crispen Garidzira</dc:creator><dc:creator>William Tichaona Vambe</dc:creator><dc:creator>William Tichaona Vambe</dc:creator><dc:creator>Courage  Matobobo</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1897.1907</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-10-08; | doi:10.3844/jcssp.2025.1897.1907</dc:source>
    <dc:date>2025-10-08</dc:date>
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    <prism:doi>10.3844/jcssp.2025.1897.1907</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.1897.1907</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1908.1920">
    <title><![CDATA[ The Role of Augmented Reality (AR) and Virtual Reality (VR) in Urban Heritage Tourism: A Study on Adoption and Communication Challenges]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1908.1920</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 10 October 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1908.1920">doi:10.3844/jcssp.2025.1908.1920</a></p>Heritage tourism has become the fastest-growing segment of tourism that offers authentic value-add to homogenized experiences worldwide. This topic has drawn increasing attention from scholars and aca...]]></content:encoded>
    <dc:title><![CDATA[ The Role of Augmented Reality (AR) and Virtual Reality (VR) in Urban Heritage Tourism: A Study on Adoption and Communication Challenges]]></dc:title><dc:creator> Winne  Wardiani</dc:creator><dc:creator>Agus  Rusmana</dc:creator><dc:creator>Ninis Agustini Damayani</dc:creator><dc:creator>Ute Lies Siti Khadija</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1908.1920</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-10-10; | doi:10.3844/jcssp.2025.1908.1920</dc:source>
    <dc:date>2025-10-10</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1908.1920</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.1908.1920</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1921.1932">
    <title><![CDATA[Utilizing Large Language Models in Business Process Management: Applications and Challenges]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1921.1932</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 8 October 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1921.1932">doi:10.3844/jcssp.2025.1921.1932</a></p>Large Language Models (LLMs) have recently been used in numerous domains, such as Business Process Management (BPM), which has significantly advanced. With LLMs' ability to understand language, reason...]]></content:encoded>
    <dc:title><![CDATA[Utilizing Large Language Models in Business Process Management: Applications and Challenges]]></dc:title><dc:creator> Mahmoud Boghdady Abdel Wahab</dc:creator><dc:creator>Sherif A. Mazen</dc:creator><dc:creator>Iman M. A. Helal</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1921.1932</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-10-08; | doi:10.3844/jcssp.2025.1921.1932</dc:source>
    <dc:date>2025-10-08</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1921.1932</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.1921.1932</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1933.1942">
    <title><![CDATA[An Intrusion Detection System Using Optimized Deep Learning for IoT Networks]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1933.1942</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 9 October 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1933.1942">doi:10.3844/jcssp.2025.1933.1942</a></p>In the rapidly evolving landscape of Internet of Things (IoT) networks, assuring security is paramount. Cyber-attacks on IoT networks are evolving in complexity and scale. Intruders employ diverse tac...]]></content:encoded>
    <dc:title><![CDATA[An Intrusion Detection System Using Optimized Deep Learning for IoT Networks]]></dc:title><dc:creator> Chempavathy   B.</dc:creator><dc:creator>Mouleeswaran   S. K.</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1933.1942</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-10-09; | doi:10.3844/jcssp.2025.1933.1942</dc:source>
    <dc:date>2025-10-09</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1933.1942</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.1933.1942</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1943.1954">
    <title><![CDATA[Distributed Vehicle Tracking System Using Image Processing Techniques]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1943.1954</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 9 October 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1943.1954">doi:10.3844/jcssp.2025.1943.1954</a></p>In this part of the research, an implementation of a distributed vehicle tracking system that uses image processing techniques for real-time automobile surveillance is done. The system uses OpenCV, Py...]]></content:encoded>
    <dc:title><![CDATA[Distributed Vehicle Tracking System Using Image Processing Techniques]]></dc:title><dc:creator>Iehab Abdul Jabbar Kamil</dc:creator><dc:creator>Mohanad Abdulsalam Al-Askari</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1943.1954</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-10-09; | doi:10.3844/jcssp.2025.1943.1954</dc:source>
    <dc:date>2025-10-09</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1943.1954</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.1943.1954</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1955.1969">
    <title><![CDATA[Boosting User Engagement in Ticketing System Through Gamification in Indonesia]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1955.1969</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 12 October 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1955.1969">doi:10.3844/jcssp.2025.1955.1969</a></p>The rapid growth of mobile applications in Indonesia, exemplified by the rise from 7.31 billion downloads in 2021 to 7.56 billion in 2023, poses a significant challenge in retaining user engagement po...]]></content:encoded>
    <dc:title><![CDATA[Boosting User Engagement in Ticketing System Through Gamification in Indonesia]]></dc:title><dc:creator>    Fernandez</dc:creator><dc:creator>Willis   Tan</dc:creator><dc:creator>Steven   Lie</dc:creator><dc:creator>Sugiarto   Hartono</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1955.1969</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-10-12; | doi:10.3844/jcssp.2025.1955.1969</dc:source>
    <dc:date>2025-10-12</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1955.1969</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.1955.1969</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1970.1982">
    <title><![CDATA[Pleural Effusion Detection Using Optimized Pretrained Models]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1970.1982</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 17 October 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1970.1982">doi:10.3844/jcssp.2025.1970.1982</a></p>Pleural effusion is an abnormal accumulation of fluid in the pleural cavity, posing a significant thoracic issue with various causes. Even with a variety of diagnostic techniques, accurate diagnosis r...]]></content:encoded>
    <dc:title><![CDATA[Pleural Effusion Detection Using Optimized Pretrained Models]]></dc:title><dc:creator>Rehab Fathi Ibrahim</dc:creator><dc:creator>Nashwa Mohamed Elsayed</dc:creator><dc:creator>Nashwa Mohamed Elsayed</dc:creator><dc:creator>Alshaimaa Mostafa Mohammed</dc:creator><dc:creator>Ahmed Magdy Mohamed</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1970.1982</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-10-17; | doi:10.3844/jcssp.2025.1970.1982</dc:source>
    <dc:date>2025-10-17</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1970.1982</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.1970.1982</prism:url>
    </item></rdf:RDF>