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<title>Volume 21, Issue 11 (2025) | Journal of Computer Science</title>
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    <title><![CDATA[Analyzing Public Sentiment on Demonetization Using SVM: A Machine Learning Approach]]></title>
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    <dc:title><![CDATA[Analyzing Public Sentiment on Demonetization Using SVM: A Machine Learning Approach]]></dc:title><dc:creator>Kaliappan  M</dc:creator><dc:creator>Guruprakash   B</dc:creator><dc:creator>   Rajalakshmi</dc:creator><dc:creator>J. Blessing  Karunya  T</dc:creator><dc:creator>Mariappan  E</dc:creator><dc:creator>Ramnath  M</dc:creator><dc:creator>Angel  Hepzibah  R</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2482.2487</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-18; | doi:10.3844/jcssp.2025.2482.2487</dc:source>
    <dc:date>2025-12-18</dc:date>
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    <title><![CDATA[Safeguarding Electronic Health Records: A Review of Privacy and Security in EHR Workflows]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 18 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2488.2522">doi:10.3844/jcssp.2025.2488.2522</a></p>Electronic Health Records (EHRs) have revolutionized the healthcare industry by improving the accessibility to patient data, optimizing workflows and refining clinical decision making. The increasing ...]]></content:encoded>
    <dc:title><![CDATA[Safeguarding Electronic Health Records: A Review of Privacy and Security in EHR Workflows]]></dc:title><dc:creator>Gayathri  Hegde  M</dc:creator><dc:creator>P. Deepa   Shenoy</dc:creator><dc:creator>Venugopal K R</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2488.2522</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-18; | doi:10.3844/jcssp.2025.2488.2522</dc:source>
    <dc:date>2025-12-18</dc:date>
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    <prism:doi>10.3844/jcssp.2025.2488.2522</prism:doi>
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    <title><![CDATA[Performance Analysis of Modified Enhancement Method for Dental Images - Towards the Effective Detection of Dental Disorders]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2523.2529</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 18 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2523.2529">doi:10.3844/jcssp.2025.2523.2529</a></p>Dental health maintenance is essential for overall physiological well-being, and X-ray imaging remains a fundamental diagnostic tool for comprehensive dental examination. While direct clinical observa...]]></content:encoded>
    <dc:title><![CDATA[Performance Analysis of Modified Enhancement Method for Dental Images - Towards the Effective Detection of Dental Disorders]]></dc:title><dc:creator>Krishnaveni  R</dc:creator><dc:creator>Sudarmani  R</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2523.2529</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-18; | doi:10.3844/jcssp.2025.2523.2529</dc:source>
    <dc:date>2025-12-18</dc:date>
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    <prism:doi>10.3844/jcssp.2025.2523.2529</prism:doi>
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    <title><![CDATA[Usability Assessment of E-Commerce Systems Using McCall’s Quality Model]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2530.2536</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 19 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2530.2536">doi:10.3844/jcssp.2025.2530.2536</a></p>E-commerce platforms rely fundamentally on business database transaction systems that must balance user experience with security and data integrity. Traditional usability assessment methodologies ofte...]]></content:encoded>
    <dc:title><![CDATA[Usability Assessment of E-Commerce Systems Using McCall’s Quality Model]]></dc:title><dc:creator>Siti  Solehah  Othman</dc:creator><dc:creator>A  Noraziah</dc:creator><dc:creator>Roslina  Mohd  Sidek</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2530.2536</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-19; | doi:10.3844/jcssp.2025.2530.2536</dc:source>
    <dc:date>2025-12-19</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2530.2536</prism:doi>
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    <title><![CDATA[System for Securing Timestamping and Electronic Signing of PDF Documents: Standards, Schematic, and Implementation]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2537.2546</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 19 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2537.2546">doi:10.3844/jcssp.2025.2537.2546</a></p>This article investigates the standards and principles for implementing electronic signatures in PDF documents, focusing on security and compliance with legal regulations. The current state of digital...]]></content:encoded>
    <dc:title><![CDATA[System for Securing Timestamping and Electronic Signing of PDF Documents: Standards, Schematic, and Implementation]]></dc:title><dc:creator>Moussa   Habiboulaye</dc:creator><dc:creator>Harouna   Naroua</dc:creator><dc:creator>Chaibou   Kadri</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2537.2546</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-19; | doi:10.3844/jcssp.2025.2537.2546</dc:source>
    <dc:date>2025-12-19</dc:date>
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    <title><![CDATA[Deep Learning-Based Spectrum Sensing in Cognitive Radio Networks using Stacked LSTM: Performance Analysis of SNR and BER]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2547.2556</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 19 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2547.2556">doi:10.3844/jcssp.2025.2547.2556</a></p>Rapid evolution of wireless communication technologies and emergence of 5G networks have addressed lack of spectrum resources, highlighting the need for innovative topologies to improve the spectrum u...]]></content:encoded>
    <dc:title><![CDATA[Deep Learning-Based Spectrum Sensing in Cognitive Radio Networks using Stacked LSTM: Performance Analysis of SNR and BER]]></dc:title><dc:creator>Kavitha  Veerappan</dc:creator><dc:creator>Seetharaman   Gopalakrishnan</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2547.2556</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-19; | doi:10.3844/jcssp.2025.2547.2556</dc:source>
    <dc:date>2025-12-19</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2547.2556</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2557.2569">
    <title><![CDATA[Internet of Things and Human Neocortex Inspired Algorithms for the Plant Disease Prediction-Sheath Blight for Paddy Plant]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2557.2569</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 18 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2557.2569">doi:10.3844/jcssp.2025.2557.2569</a></p>Sheath blight disease (Rhizoctonia solani) poses a critical threat to paddy (Oryza sativa) production, causing up to 50% yield losses under conducive environmental conditions. Existing computer vision...]]></content:encoded>
    <dc:title><![CDATA[Internet of Things and Human Neocortex Inspired Algorithms for the Plant Disease Prediction-Sheath Blight for Paddy Plant]]></dc:title><dc:creator>Thangaraj  Ethilu</dc:creator><dc:creator>K.   Parthiban</dc:creator><dc:creator>Arockia  Jayadhas  S</dc:creator><dc:creator>Kalidoss   Rajendran</dc:creator><dc:creator>M. S.  Mohamed  Mallick</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2557.2569</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-18; | doi:10.3844/jcssp.2025.2557.2569</dc:source>
    <dc:date>2025-12-18</dc:date>
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    <prism:doi>10.3844/jcssp.2025.2557.2569</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2570.2580">
    <title><![CDATA[Detecting Disinformation: Enriching the COVAX Reality Dataset with BERT for Stance Detection]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2570.2580</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 28 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2570.2580">doi:10.3844/jcssp.2025.2570.2580</a></p>Social media news pages and online news portals have significantly grown in popularity among the users across the globe for accessing the latest and important news. Unlike traditional newspapers, onli...]]></content:encoded>
    <dc:title><![CDATA[Detecting Disinformation: Enriching the COVAX Reality Dataset with BERT for Stance Detection]]></dc:title><dc:creator>Saad   Ahmed</dc:creator><dc:creator>Asma   Qaiser</dc:creator><dc:creator>Sidrah  Abdullah</dc:creator><dc:creator>Muhammad Shoaib  Siddiqui</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2570.2580</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-28; | doi:10.3844/jcssp.2025.2570.2580</dc:source>
    <dc:date>2025-12-28</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2570.2580</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2581.2592">
    <title><![CDATA[Privacy-Preserving Deep Federated Learning on the Edge Using Homomorphic Encryption and Secure Multiparty Computation]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2581.2592</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 21 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2581.2592">doi:10.3844/jcssp.2025.2581.2592</a></p>The increasing volume of consumer data necessitates reliable edge devices for personalized user experiences. Federated Learning (FL) offers a state-of-the-art approach to decentralized machine learnin...]]></content:encoded>
    <dc:title><![CDATA[Privacy-Preserving Deep Federated Learning on the Edge Using Homomorphic Encryption and Secure Multiparty Computation]]></dc:title><dc:creator>Noman  Aasif  Gudur</dc:creator><dc:creator>Mohamed   El-Dosuky</dc:creator><dc:creator>Sherif   Kamel</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2581.2592</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-21; | doi:10.3844/jcssp.2025.2581.2592</dc:source>
    <dc:date>2025-12-21</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2581.2592</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2593.2604">
    <title><![CDATA[Post-COVID Impact Analysis and Effective Recommendation Solutions Over Risk Prediction Using Hybrid Model]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2593.2604</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 23 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2593.2604">doi:10.3844/jcssp.2025.2593.2604</a></p>The COVID-19 pandemic (2019-2022) resulted in significant global mortality, largely attributed to the virus's unpredictable pathophysiology, rapid disease progression affecting multiple organ systems,...]]></content:encoded>
    <dc:title><![CDATA[Post-COVID Impact Analysis and Effective Recommendation Solutions Over Risk Prediction Using Hybrid Model]]></dc:title><dc:creator>Boddeti Jaggan Mohan   Ravi Kumar</dc:creator><dc:creator>P. V. G. D.   Prasad Reddy</dc:creator><dc:creator>G   Srinivas</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2593.2604</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-23; | doi:10.3844/jcssp.2025.2593.2604</dc:source>
    <dc:date>2025-12-23</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2593.2604</prism:doi>
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    <title><![CDATA[Advancements In Precision Agriculture: A Review on Image-Based Stress Detection and Predictive Yield Loss Modeling]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2605.2617</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 28 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2605.2617">doi:10.3844/jcssp.2025.2605.2617</a></p>Precision agriculture utilizes cutting-edge technologies to maximize the management of crops, enhance utilization of resources, and maximize yield forecasting. This study critically analyzes 53 peer-r...]]></content:encoded>
    <dc:title><![CDATA[Advancements In Precision Agriculture: A Review on Image-Based Stress Detection and Predictive Yield Loss Modeling]]></dc:title><dc:creator>A.  Josephine </dc:creator><dc:creator>A.  Subhashini</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2605.2617</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-28; | doi:10.3844/jcssp.2025.2605.2617</dc:source>
    <dc:date>2025-12-28</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2605.2617</prism:doi>
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    <title><![CDATA[Hematologic Cancer Cell Detection and Classification Using Optimized VGG-19 with Stratified K-fold Cross-Validation]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2618.2630</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 24 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2618.2630">doi:10.3844/jcssp.2025.2618.2630</a></p>The most prevalent pediatric blood malignancy is acute lymphoblastic leukemia (ALL). ALL is a lethal disease in which patients have a lower survival rate. Its prompt detection and precise categorizati...]]></content:encoded>
    <dc:title><![CDATA[Hematologic Cancer Cell Detection and Classification Using Optimized VGG-19 with Stratified K-fold Cross-Validation]]></dc:title><dc:creator>Hema   Patel</dc:creator><dc:creator>Himal   Shah</dc:creator><dc:creator>Gayatri   Patel</dc:creator><dc:creator>Atul   Patel</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2618.2630</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-24; | doi:10.3844/jcssp.2025.2618.2630</dc:source>
    <dc:date>2025-12-24</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2618.2630</prism:doi>
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    <title><![CDATA[Few-shot Fine-tuning of BERT Multilingual for Hindi Word Sense Disambiguation ]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2631.2646</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 26 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2631.2646">doi:10.3844/jcssp.2025.2631.2646</a></p>Word Sense Disambiguation (WSD) is a fundamental task in Natural Language Processing (NLP), addressing the challenge of identifying correct word meanings in context. This task is particularly complex ...]]></content:encoded>
    <dc:title><![CDATA[Few-shot Fine-tuning of BERT Multilingual for Hindi Word Sense Disambiguation ]]></dc:title><dc:creator>Shailendra  Kumar  Patel</dc:creator><dc:creator>Rakesh  Kumar</dc:creator><dc:creator>Anuj  Kumar  Sirohi</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2631.2646</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-26; | doi:10.3844/jcssp.2025.2631.2646</dc:source>
    <dc:date>2025-12-26</dc:date>
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    <title><![CDATA[Fine-Tuned and Optimized Transformer-Based Model for EEG Seizure Detection ]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2647.2662</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 11 February 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2647.2662">doi:10.3844/jcssp.2025.2647.2662</a></p>Epilepsy, a widely recognized neurological disorder, results from irregularities in the transmission of electrical impulses among neurons in the brain. Over the last two decades, significant efforts h...]]></content:encoded>
    <dc:title><![CDATA[Fine-Tuned and Optimized Transformer-Based Model for EEG Seizure Detection ]]></dc:title><dc:creator>Puspanjali   Mallik</dc:creator><dc:creator>Ajit  Kumar  Nayak</dc:creator><dc:creator>Kumar  Janardan  Patra</dc:creator><dc:creator>Rajendra  Prasad  Panigrahi</dc:creator><dc:creator>Getachew  Mekuia  Habtemaiam</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2647.2662</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-11; | doi:10.3844/jcssp.2025.2647.2662</dc:source>
    <dc:date>2026-02-11</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2647.2662</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2647.2662</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2663.2684">
    <title><![CDATA[A Design Method of SPEM-based Feature Methodology Framework ]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2663.2684</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 26 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2663.2684">doi:10.3844/jcssp.2025.2663.2684</a></p>Existing feature methodologies have been presented primarily at the research level, lacking generalized frameworks suitable for commercial application. Critically, the absence of SPEM (Software & Syst...]]></content:encoded>
    <dc:title><![CDATA[A Design Method of SPEM-based Feature Methodology Framework ]]></dc:title><dc:creator>Chee-Yang   Song</dc:creator><dc:creator>Eun-Sook   Cho</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2663.2684</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-26; | doi:10.3844/jcssp.2025.2663.2684</dc:source>
    <dc:date>2025-12-26</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2663.2684</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2663.2684</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2685.2691">
    <title><![CDATA[A Novel Virtual Modeling Approach for Mango Tree Biomass Estimation Using Allometric Equations and Functional-Structural Plant Modeling (FSPM) with GroIMP]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2685.2691</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 12 February 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2685.2691">doi:10.3844/jcssp.2025.2685.2691</a></p>Biomass represents a critical ecological contribution of trees, including mango (Mangifera indica L.), necessitating rigorous academic approaches for quantification and modeling. This study develops a...]]></content:encoded>
    <dc:title><![CDATA[A Novel Virtual Modeling Approach for Mango Tree Biomass Estimation Using Allometric Equations and Functional-Structural Plant Modeling (FSPM) with GroIMP]]></dc:title><dc:creator>Oki   Marzuqi</dc:creator><dc:creator>Ditdit  Nugeraha  Utama</dc:creator><dc:creator>Azhar  Indra  Rusmana</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2685.2691</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-12; | doi:10.3844/jcssp.2025.2685.2691</dc:source>
    <dc:date>2026-02-12</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2685.2691</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2685.2691</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2692.2699">
    <title><![CDATA[Advanced Hierarchical Deep Learning Approach for Intrusion Detection: Hyperparameter Tuning and Performance Evaluation on the CICIDS Dataset]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2692.2699</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 26 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2692.2699">doi:10.3844/jcssp.2025.2692.2699</a></p>Intrusion Detection Systems (IDS) are essential in the communication security and integrity of contemporary network architectures. This study introduces a novel advanced hierarchical deep learning mod...]]></content:encoded>
    <dc:title><![CDATA[Advanced Hierarchical Deep Learning Approach for Intrusion Detection: Hyperparameter Tuning and Performance Evaluation on the CICIDS Dataset]]></dc:title><dc:creator>Ajeet   Singh</dc:creator><dc:creator>Azath   M</dc:creator><dc:creator>Shahazad  Niwazi  Qurashi</dc:creator><dc:creator>Sathish  Kumar  Kong</dc:creator><dc:creator>Alok   Katariya</dc:creator><dc:creator>Badrih  Mousa  Milihe</dc:creator><dc:creator>Farrukh   Sobia</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2692.2699</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-26; | doi:10.3844/jcssp.2025.2692.2699</dc:source>
    <dc:date>2025-12-26</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2692.2699</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2692.2699</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2700.2708">
    <title><![CDATA[Implementation of Mobile Applications and Voice Recognition in an IoT-Based System in the Server Room of PT. Ecocare Indo Pasifik]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2700.2708</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 26 January 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2700.2708">doi:10.3844/jcssp.2025.2700.2708</a></p>The progress made on the Internet of Things (IoT) has given an opportunity to people to have control over their home devices from afar using mobile applications. While PT. Ecocare Indo Pasifik (ecoCar...]]></content:encoded>
    <dc:title><![CDATA[Implementation of Mobile Applications and Voice Recognition in an IoT-Based System in the Server Room of PT. Ecocare Indo Pasifik]]></dc:title><dc:creator>Raka   Dhaneswara</dc:creator><dc:creator>Alexander  Agung Santoso  Gunawan</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2700.2708</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-01-26; | doi:10.3844/jcssp.2025.2700.2708</dc:source>
    <dc:date>2026-01-26</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2700.2708</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2700.2708</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2709.2717">
    <title><![CDATA[AraSenti-MARBERT-DynGCN: An Advanced Framework for Sarcasm Detection in Arabic Text]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2709.2717</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 12 February 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2709.2717">doi:10.3844/jcssp.2025.2709.2717</a></p>Sarcasm detection in Arabic texts is challenging because of the complexity in Arabic morphology, the multitudes of dialects used by native speakers, and its strong reliance on context. The lack of sta...]]></content:encoded>
    <dc:title><![CDATA[AraSenti-MARBERT-DynGCN: An Advanced Framework for Sarcasm Detection in Arabic Text]]></dc:title><dc:creator>Bassma  M Mousa</dc:creator><dc:creator>Mohammed  H.  Haggag</dc:creator><dc:creator>Mervat   Gheith</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2709.2717</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-12; | doi:10.3844/jcssp.2025.2709.2717</dc:source>
    <dc:date>2026-02-12</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2709.2717</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2709.2717</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2718.2725">
    <title><![CDATA[Association Rule Analysis of Qualitative Contribution Evaluation of Faculty Using Distributed Mining with Apriori Algorithm]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2718.2725</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 27 January 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2718.2725">doi:10.3844/jcssp.2025.2718.2725</a></p>Teacher evaluation, where students serve as evaluators, is common in Philippine educational institutions. Student input based on teacher performance is considered crucial for fostering faculty develop...]]></content:encoded>
    <dc:title><![CDATA[Association Rule Analysis of Qualitative Contribution Evaluation of Faculty Using Distributed Mining with Apriori Algorithm]]></dc:title><dc:creator>Mylene  Bello  Ragobrio</dc:creator><dc:creator>Rhoderick  D.  Malangsa</dc:creator><dc:creator>Rujube   Hinoguin-Hermano</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2718.2725</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-01-27; | doi:10.3844/jcssp.2025.2718.2725</dc:source>
    <dc:date>2026-01-27</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2718.2725</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2718.2725</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2726.2734">
    <title><![CDATA[Web Based Multi Feature Propagation Analysis Model for Efficient Disease Interference and Recommendation Using Deep Learning]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2726.2734</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 29 January 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2726.2734">doi:10.3844/jcssp.2025.2726.2734</a></p>Accurate prediction of chronic diseases is critical for proactive healthcare management. This paper proposes a Multi-feature Propagation Analysis-based Deep Learning Model (MPADM) to address this chal...]]></content:encoded>
    <dc:title><![CDATA[Web Based Multi Feature Propagation Analysis Model for Efficient Disease Interference and Recommendation Using Deep Learning]]></dc:title><dc:creator>M. Manoj Kumar</dc:creator><dc:creator>R.   Siva</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2726.2734</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-01-29; | doi:10.3844/jcssp.2025.2726.2734</dc:source>
    <dc:date>2026-01-29</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2726.2734</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2726.2734</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2735.2744">
    <title><![CDATA[The Role of Agile Leadership in Team Motivation Within Software Development Projects: A Study Case of Multinational Companies in Morocco]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2735.2744</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 12 February 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2735.2744">doi:10.3844/jcssp.2025.2735.2744</a></p>Today’s business world is increasingly competitive, especially in the software development domain. This growing pressure has led many organizations to adopt agile methodologies and cultures. They ne...]]></content:encoded>
    <dc:title><![CDATA[The Role of Agile Leadership in Team Motivation Within Software Development Projects: A Study Case of Multinational Companies in Morocco]]></dc:title><dc:creator>Maha   Makkass</dc:creator><dc:creator>Youness   Laghouaouta</dc:creator><dc:creator>Adil   Anwar</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2735.2744</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-12; | doi:10.3844/jcssp.2025.2735.2744</dc:source>
    <dc:date>2026-02-12</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2735.2744</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2735.2744</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2745.2758">
    <title><![CDATA[Optimized YOLOv8 for Insect Detection in Agricultural Farms Using Edge Vision Systems]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2745.2758</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 28 January 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2745.2758">doi:10.3844/jcssp.2025.2745.2758</a></p>Farmers started to adopt smart gadgets like automated pest detection and kiosks for their work in light of the AI revolution in agriculture. These kinds of technologies help farmers identify pest infe...]]></content:encoded>
    <dc:title><![CDATA[Optimized YOLOv8 for Insect Detection in Agricultural Farms Using Edge Vision Systems]]></dc:title><dc:creator>Deebalakshmi   R.</dc:creator><dc:creator>Adhithyaa   S.</dc:creator><dc:creator>Yoga Vignesh V.</dc:creator><dc:creator>Balaji Ganesh Rajagopal</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2745.2758</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-01-28; | doi:10.3844/jcssp.2025.2745.2758</dc:source>
    <dc:date>2026-01-28</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2745.2758</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2745.2758</prism:url>
    </item></rdf:RDF>