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<title>Volume 21, Issue 1 (2025) | Journal of Computer Science</title>
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    <title><![CDATA[Hybrid Machine Learning Framework with Data Analytics Model for Privacy-Preserved Intelligent Predictive Maintenance in Healthcare IoT]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1.12</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 November 2024; <a href="https://thescipub.com/jcs/jcssp.2025.1.12">doi:10.3844/jcssp.2025.1.12</a></p>Federated Learning (FL) is a cutting-edge approach for developing machine learning (ML) models using distributed datasets while preserving data privacy and ownership. FL is particularly suited for Int...]]></content:encoded>
    <dc:title><![CDATA[Hybrid Machine Learning Framework with Data Analytics Model for Privacy-Preserved Intelligent Predictive Maintenance in Healthcare IoT]]></dc:title><dc:creator>Arun  Ganji</dc:creator><dc:creator>D.  Usha</dc:creator><dc:creator>P.S.  Rajakumar</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1.12</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-11-30; | doi:10.3844/jcssp.2025.1.12</dc:source>
    <dc:date>2024-11-30</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1.12</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.13.24">
    <title><![CDATA[Advanced Facial Emotion Recognition Using DCNN-ELM: A Comprehensive Approach to Preprocessing, Feature Extraction and Performance Evaluation]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.13.24</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 November 2024; <a href="https://thescipub.com/jcs/jcssp.2025.13.24">doi:10.3844/jcssp.2025.13.24</a></p>As a subfield of affective computing, Facial Emotion Recognition (FER) teaches computers to read people's facial expressions to determine their emotional state. Because facial expressions convey 55% o...]]></content:encoded>
    <dc:title><![CDATA[Advanced Facial Emotion Recognition Using DCNN-ELM: A Comprehensive Approach to Preprocessing, Feature Extraction and Performance Evaluation]]></dc:title><dc:creator>Boopalan  K.</dc:creator><dc:creator>Satyajee  Srivastava</dc:creator><dc:creator>K.  Kavitha</dc:creator><dc:creator>D. Usha  Rani</dc:creator><dc:creator>K. Jayaram  Kumar</dc:creator><dc:creator>M. V.  Jagannatha</dc:creator><dc:creator>V.  Bhoopathy</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.13.24</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-11-30; | doi:10.3844/jcssp.2025.13.24</dc:source>
    <dc:date>2024-11-30</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.13.24</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.13.24</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.25.33">
    <title><![CDATA[Security Threats to Databases in E-Commerce Systems: A Systematic Literature Review]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.25.33</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 2 December 2024; <a href="https://thescipub.com/jcs/jcssp.2025.25.33">doi:10.3844/jcssp.2025.25.33</a></p>Data is a primary by-product of each business. A typical business organization uses a database system to store and manage data. On the other hand, databases are the primary target of hackers and attac...]]></content:encoded>
    <dc:title><![CDATA[Security Threats to Databases in E-Commerce Systems: A Systematic Literature Review]]></dc:title><dc:creator>Nurayn Mesfer Alqahtani</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.25.33</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-12-02; | doi:10.3844/jcssp.2025.25.33</dc:source>
    <dc:date>2024-12-02</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.25.33</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.25.33</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.34.42">
    <title><![CDATA[A Multi-Scale Feature Extraction and Fusion Deep Learning Method for Classification of Wheat Diseases]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.34.42</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 2 January 2025; <a href="https://thescipub.com/jcs/jcssp.2025.34.42">doi:10.3844/jcssp.2025.34.42</a></p>Wheat is an important source of dietary fiber and protein that is negatively impacted by a number of risks to its growth. The difficulty of identifying and classifying wheat diseases is discussed with...]]></content:encoded>
    <dc:title><![CDATA[A Multi-Scale Feature Extraction and Fusion Deep Learning Method for Classification of Wheat Diseases]]></dc:title><dc:creator>Sajjad   Saleem</dc:creator><dc:creator>Adil   Hussain</dc:creator><dc:creator>Nabila   Majeed</dc:creator><dc:creator>Zahid   Akhtar</dc:creator><dc:creator>Kamran   Siddique</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.34.42</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-01-02; | doi:10.3844/jcssp.2025.34.42</dc:source>
    <dc:date>2025-01-02</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.34.42</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.34.42</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.43.51">
    <title><![CDATA[Efficient Text Data Hiding Technique Using Cryptography and Steganography]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.43.51</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 3 December 2024; <a href="https://thescipub.com/jcs/jcssp.2025.43.51">doi:10.3844/jcssp.2025.43.51</a></p>Steganography serves as a technique for covertly embedding confidential information within other data, ensuring that both the existence and content of this hidden data remain undisclosed to unauthoriz...]]></content:encoded>
    <dc:title><![CDATA[Efficient Text Data Hiding Technique Using Cryptography and Steganography]]></dc:title><dc:creator>Nor Fazlida Mohd Sani</dc:creator><dc:creator>Mohamad Adreen Nujjaid</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.43.51</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-12-03; | doi:10.3844/jcssp.2025.43.51</dc:source>
    <dc:date>2024-12-03</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.43.51</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.43.51</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.52.70">
    <title><![CDATA[An Accurate Mango Pest Identification Employing the Gaussian Mixture Model and Expectation-Maximization (EM) Algorithm]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.52.70</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 3 December 2024; <a href="https://thescipub.com/jcs/jcssp.2025.52.70">doi:10.3844/jcssp.2025.52.70</a></p>Mangoes are fruits that originated in South and Southeast Asia. Mango fruits are consumed in high volume worldwide. However, fruit, stem, root, and mango leaves are damaged by pests, and it has a sign...]]></content:encoded>
    <dc:title><![CDATA[An Accurate Mango Pest Identification Employing the Gaussian Mixture Model and Expectation-Maximization (EM) Algorithm]]></dc:title><dc:creator>D. Lita   Pansy</dc:creator><dc:creator>M.   Murali</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.52.70</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-12-03; | doi:10.3844/jcssp.2025.52.70</dc:source>
    <dc:date>2024-12-03</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.52.70</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.52.70</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.71.77">
    <title><![CDATA[A Novel Optimized Machine Learning Approach for Early Prediction of Heart Disease Using Bio-Inspired Algorithms]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.71.77</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 4 December 2024; <a href="https://thescipub.com/jcs/jcssp.2025.71.77">doi:10.3844/jcssp.2025.71.77</a></p>This study presents a novel approach for early prediction of heart disease using bio-inspired optimization algorithms to select and optimize features. The proposed approach utilizes a Genetic Algorith...]]></content:encoded>
    <dc:title><![CDATA[A Novel Optimized Machine Learning Approach for Early Prediction of Heart Disease Using Bio-Inspired Algorithms]]></dc:title><dc:creator>Indira  Priyadarsini</dc:creator><dc:creator>I.S. Siva Rao</dc:creator><dc:creator>P.  Swetha</dc:creator><dc:creator>T.  Anuradha</dc:creator><dc:creator>V.  Sujatha</dc:creator><dc:creator>B.  Divya</dc:creator><dc:creator>Konduru Kranthi Kumar</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.71.77</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-12-04; | doi:10.3844/jcssp.2025.71.77</dc:source>
    <dc:date>2024-12-04</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.71.77</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.71.77</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.78.87">
    <title><![CDATA[Artificial Intelligence and Mathematical Modelling-Based Techniques to Improve Social Media Marketing]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.78.87</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 5 December 2024; <a href="https://thescipub.com/jcs/jcssp.2025.78.87">doi:10.3844/jcssp.2025.78.87</a></p>The Businessperson is using social media to do marketing of their product. Almost all people use social media. Most people relate to social media. Social media marketing is beneficial in making the pr...]]></content:encoded>
    <dc:title><![CDATA[Artificial Intelligence and Mathematical Modelling-Based Techniques to Improve Social Media Marketing]]></dc:title><dc:creator>Kiran  Chaudhary</dc:creator><dc:creator>Mohammad Naquibur Rahman</dc:creator><dc:creator>Nabeela  Hasan</dc:creator><dc:creator>Mansaf  Alam</dc:creator><dc:creator>Aakash  Punit</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.78.87</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-12-05; | doi:10.3844/jcssp.2025.78.87</dc:source>
    <dc:date>2024-12-05</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.78.87</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.78.87</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.88.95">
    <title><![CDATA[A Novel Dialect-Aware Framework for the Classification of Arabic Dialects and Emotions]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.88.95</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 8 December 2024; <a href="https://thescipub.com/jcs/jcssp.2025.88.95">doi:10.3844/jcssp.2025.88.95</a></p>Arabic is one of the oldest languages still in use today. As a result, several Arabic-speaking regions have developed dialects that are unique to them. Dialect and emotion recognition have various use...]]></content:encoded>
    <dc:title><![CDATA[A Novel Dialect-Aware Framework for the Classification of Arabic Dialects and Emotions]]></dc:title><dc:creator>Nasser   Alsadhan</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.88.95</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-12-08; | doi:10.3844/jcssp.2025.88.95</dc:source>
    <dc:date>2024-12-08</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.88.95</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.88.95</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.96.110">
    <title><![CDATA[Sustainability Through Connectivity: IoT Influence on Agriculture]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.96.110</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 10 December 2024; <a href="https://thescipub.com/jcs/jcssp.2025.96.110">doi:10.3844/jcssp.2025.96.110</a></p>Today’s smart farming has ushered in a new era of agriculture, one where information and communication technologies seamlessly integrate with the latest equipment in machinery and sensors based in h...]]></content:encoded>
    <dc:title><![CDATA[Sustainability Through Connectivity: IoT Influence on Agriculture]]></dc:title><dc:creator>Manmohan  Singh</dc:creator><dc:creator>Shaheen  Ayyub</dc:creator><dc:creator>Dharmendra  Sharma</dc:creator><dc:creator>Vikas  Prasad</dc:creator><dc:creator>Amol  Ranadive</dc:creator><dc:creator>Smita  Sharma</dc:creator><dc:creator>Vinod  Patidar</dc:creator><dc:creator>Sudheer  Kumar</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.96.110</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-12-10; | doi:10.3844/jcssp.2025.96.110</dc:source>
    <dc:date>2024-12-10</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.96.110</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.96.110</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.111.123">
    <title><![CDATA[Multi-Source Cyber Intrusion Detection Using Ensemble Machine Learning]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.111.123</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 14 December 2024; <a href="https://thescipub.com/jcs/jcssp.2025.111.123">doi:10.3844/jcssp.2025.111.123</a></p>The increased usage of digital technologies across businesses has led to an increase in cybercrime. It is difficult for existing intrusion detection systems to detect highly skilled hacking attempts; ...]]></content:encoded>
    <dc:title><![CDATA[Multi-Source Cyber Intrusion Detection Using Ensemble Machine Learning]]></dc:title><dc:creator>Taskeen Ali Khan</dc:creator><dc:creator>Sara   Abbas</dc:creator><dc:creator>Biswaranjan   Senapati</dc:creator><dc:creator>Manish Raj Anand</dc:creator><dc:creator>Muhammad Imran Ghafoor</dc:creator><dc:creator>Satyabrata  Pradhan</dc:creator><dc:creator>Friban   Almeida</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.111.123</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-12-14; | doi:10.3844/jcssp.2025.111.123</dc:source>
    <dc:date>2024-12-14</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.111.123</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.111.123</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.124.133">
    <title><![CDATA[Gradient Boosting for Heart Stroke Prediction: Investigating Unexpected Risk Factors]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.124.133</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 16 December 2024; <a href="https://thescipub.com/jcs/jcssp.2025.124.133">doi:10.3844/jcssp.2025.124.133</a></p>Heart stroke prediction is a critical area in healthcare, aiming to identify individuals at risk and provide timely intervention. This research leverages machine learning algorithms, including Decisio...]]></content:encoded>
    <dc:title><![CDATA[Gradient Boosting for Heart Stroke Prediction: Investigating Unexpected Risk Factors]]></dc:title><dc:creator>Aniket Kailas Shahade</dc:creator><dc:creator>Priyanka V. Deshmukh</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.124.133</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-12-16; | doi:10.3844/jcssp.2025.124.133</dc:source>
    <dc:date>2024-12-16</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.124.133</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.124.133</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.134.145">
    <title><![CDATA[Stroke Risk Assessment with Classical ML Methods]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.134.145</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 18 December 2024; <a href="https://thescipub.com/jcs/jcssp.2025.134.145">doi:10.3844/jcssp.2025.134.145</a></p>Stroke, often caused by a disruption in the supply of essential oxygen, blood, and nutrients to the brain, represents a significant global health challenge. Due to limited resources, developing countr...]]></content:encoded>
    <dc:title><![CDATA[Stroke Risk Assessment with Classical ML Methods]]></dc:title><dc:creator>Mohammad Aref Alshraideh</dc:creator><dc:creator>Najwan  Alshraideh</dc:creator><dc:creator>Abedalrahman  Alshraideh</dc:creator><dc:creator>Yara  Alkayed</dc:creator><dc:creator>Yasmin  Al Trabsheh</dc:creator><dc:creator>Heba  Alshraideh</dc:creator><dc:creator>Bahaaldeen  Alshraideh</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.134.145</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-12-18; | doi:10.3844/jcssp.2025.134.145</dc:source>
    <dc:date>2024-12-18</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.134.145</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.134.145</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.146.157">
    <title><![CDATA[The Optimized Extreme Learning Machine (GA-OELM) for DDoS Attack Detection in Cloud Environment]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.146.157</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 19 December 2024; <a href="https://thescipub.com/jcs/jcssp.2025.146.157">doi:10.3844/jcssp.2025.146.157</a></p>The widespread adoption of cloud computing has increased the attack surface and raised significant security concerns. A Distributed Denial of Service (DDoS) is a serious attack that depletes the netwo...]]></content:encoded>
    <dc:title><![CDATA[The Optimized Extreme Learning Machine (GA-OELM) for DDoS Attack Detection in Cloud Environment]]></dc:title><dc:creator>Meryem  Ec-Sabery</dc:creator><dc:creator>Adil Ben Abbou</dc:creator><dc:creator>Abdelali  Boushaba</dc:creator><dc:creator>Fatiha  Mrabti</dc:creator><dc:creator>Rachid Ben Abbou</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.146.157</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-12-19; | doi:10.3844/jcssp.2025.146.157</dc:source>
    <dc:date>2024-12-19</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.146.157</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.146.157</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.158.167">
    <title><![CDATA[Sentiment Analysis on User Reviews of Snapchat in Indonesia]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.158.167</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 2 January 2025; <a href="https://thescipub.com/jcs/jcssp.2025.158.167">doi:10.3844/jcssp.2025.158.167</a></p>This research explores the sentiment expressed in Snapchat user reviews within the Indonesian context, leveraging advanced natural language processing techniques and classification models. With a focu...]]></content:encoded>
    <dc:title><![CDATA[Sentiment Analysis on User Reviews of Snapchat in Indonesia]]></dc:title><dc:creator>Evaristus Didik Madyatmadja</dc:creator><dc:creator>Brigita Christabel Surya Winata</dc:creator><dc:creator>Evelyn  Pradhan</dc:creator><dc:creator>Fathya Putri Yasmina</dc:creator><dc:creator>Feladiva Annrastia Adrian</dc:creator><dc:creator>Raihan  Mahardhika</dc:creator><dc:creator>  Christian</dc:creator><dc:creator>David Jumpa Malem Sembiring</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.158.167</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-01-02; | doi:10.3844/jcssp.2025.158.167</dc:source>
    <dc:date>2025-01-02</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.158.167</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.158.167</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.168.176">
    <title><![CDATA[Quantum-Enhanced IoT-Cloud Security: Integrating SHAP and Variational Quantum Classifiers]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.168.176</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 20 December 2024; <a href="https://thescipub.com/jcs/jcssp.2025.168.176">doi:10.3844/jcssp.2025.168.176</a></p>In the current Internet era, there are now trillions of gadgets online, and the Internet of Things is becoming a necessary part of daily life. IoT devices are connected, but this also makes them vulne...]]></content:encoded>
    <dc:title><![CDATA[Quantum-Enhanced IoT-Cloud Security: Integrating SHAP and Variational Quantum Classifiers]]></dc:title><dc:creator>Veena  Antony</dc:creator><dc:creator>Veena  Antony</dc:creator><dc:creator>Nainan   Thangarasu</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.168.176</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-12-20; | doi:10.3844/jcssp.2025.168.176</dc:source>
    <dc:date>2024-12-20</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.168.176</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.168.176</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.177.183">
    <title><![CDATA[Kenyan Sign Language Translation Using SSD MobileNet-v2 FPNlite Model]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.177.183</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 24 December 2024; <a href="https://thescipub.com/jcs/jcssp.2025.177.183">doi:10.3844/jcssp.2025.177.183</a></p>Speech impairment is a disability that impacts an individual's ability to communicate effectively through speech and hearing. Those affected often rely on alternative forms of communication, such as s...]]></content:encoded>
    <dc:title><![CDATA[Kenyan Sign Language Translation Using SSD MobileNet-v2 FPNlite Model]]></dc:title><dc:creator>Henry Muchiri Muriithi</dc:creator><dc:creator>Geoffrey Kasembeli Wanjala</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.177.183</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-12-24; | doi:10.3844/jcssp.2025.177.183</dc:source>
    <dc:date>2024-12-24</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.177.183</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.177.183</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.184.196">
    <title><![CDATA[Factors Affecting the Selection of B2C E-Commerce Website in Vietnam: A Fuzzy AHP Analysis]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.184.196</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 24 December 2024; <a href="https://thescipub.com/jcs/jcssp.2025.184.196">doi:10.3844/jcssp.2025.184.196</a></p>The burgeoning B2C e-commerce landscape in Vietnam necessitates a deeper understanding of customer selection criteria to ensure sustained satisfaction and trust. This study addresses this gap by emplo...]]></content:encoded>
    <dc:title><![CDATA[Factors Affecting the Selection of B2C E-Commerce Website in Vietnam: A Fuzzy AHP Analysis]]></dc:title><dc:creator>Quang Hung Do</dc:creator><dc:creator>Duong Quang Khanh</dc:creator><dc:creator>Nguyen Thai Son</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.184.196</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-12-24; | doi:10.3844/jcssp.2025.184.196</dc:source>
    <dc:date>2024-12-24</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.184.196</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.184.196</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.197.202">
    <title><![CDATA[Quay Crane Scheduling in Container Terminals Using a Hybrid Genetic Algorithm]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.197.202</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 26 December 2024; <a href="https://thescipub.com/jcs/jcssp.2025.197.202">doi:10.3844/jcssp.2025.197.202</a></p>Container terminals are crucial nodes within the global supply chain, playing a vital role in the efficient movement of goods. Effective scheduling of Quay Cranes (QCs) is a key factor in maximizing p...]]></content:encoded>
    <dc:title><![CDATA[Quay Crane Scheduling in Container Terminals Using a Hybrid Genetic Algorithm]]></dc:title><dc:creator>Aidi  Sanaa</dc:creator><dc:creator>Torbi   Imane</dc:creator><dc:creator>Mazouzi   Mohamed</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.197.202</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-12-26; | doi:10.3844/jcssp.2025.197.202</dc:source>
    <dc:date>2024-12-26</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.197.202</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.197.202</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.203.211">
    <title><![CDATA[Comparative Analysis of GPT-4o and Gemini 1.5 Pro in Thai Exam Settings]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.203.211</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 30 December 2024; <a href="https://thescipub.com/jcs/jcssp.2025.203.211">doi:10.3844/jcssp.2025.203.211</a></p>This study presents a comparative analysis of two advanced AI models, GPT-4o and Gemini 1.5 Pro, within the context of Thai standardized exams. The selected tests include POSN Biology, POSN Mathematic...]]></content:encoded>
    <dc:title><![CDATA[Comparative Analysis of GPT-4o and Gemini 1.5 Pro in Thai Exam Settings]]></dc:title><dc:creator>Kasidis   Miankamnerd</dc:creator><dc:creator>Taechasith   Kangkhuntod</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.203.211</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-12-30; | doi:10.3844/jcssp.2025.203.211</dc:source>
    <dc:date>2024-12-30</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.203.211</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.203.211</prism:url>
    </item></rdf:RDF>