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<title>Volume 21, Issue 12 (2025) | Journal of Computer Science</title>
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    <title><![CDATA[MERAKI: An Online Collaborative Learning Platform Developed Using the UWE Methodology]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 10 January 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2759.2771">doi:10.3844/jcssp.2025.2759.2771</a></p>In the digital era, education has evolved with the integration of technologies that optimize the teaching-learning process. This article presents the need for more efficient online collaborative envir...]]></content:encoded>
    <dc:title><![CDATA[MERAKI: An Online Collaborative Learning Platform Developed Using the UWE Methodology]]></dc:title><dc:creator>Percy   De-la-Cruz-VdV</dc:creator><dc:creator>Yesenia   Torres-Donayre</dc:creator><dc:creator>Hugo   Vega-Huerta</dc:creator><dc:creator>Gisella Luisa Elena Maquen-Niño</dc:creator><dc:creator>Santiago   Moquillaza-Henríquez</dc:creator><dc:creator>Luis   Guerra-Grados</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2759.2771</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-01-10; | doi:10.3844/jcssp.2025.2759.2771</dc:source>
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    <title><![CDATA[Preventing Deforestation in the Indian Landscape Through Neural Network-Based Intelligence Using Sound Event Detection and Advanced Feature Extraction Techniques]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 20 January 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2772.2801">doi:10.3844/jcssp.2025.2772.2801</a></p>Forests play a vital role in maintaining ecological balance, regulating the climate, and conserving biodiversity. However, India’s forest landscape has witnessed significant changes between 1980 and...]]></content:encoded>
    <dc:title><![CDATA[Preventing Deforestation in the Indian Landscape Through Neural Network-Based Intelligence Using Sound Event Detection and Advanced Feature Extraction Techniques]]></dc:title><dc:creator>Sallauddin   Mohmmad</dc:creator><dc:creator>Sallauddin   Mohmmad</dc:creator><dc:creator>Suresh Kumar Sanampudi</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2772.2801</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-01-20; | doi:10.3844/jcssp.2025.2772.2801</dc:source>
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    <title><![CDATA[Optimized XGBoost for Ethereum Fraud Detection: A Cost-Sensitive Approach]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 10 January 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2802.2815">doi:10.3844/jcssp.2025.2802.2815</a></p>In today’s technologically advancing world, many fields from finance to healthcare and education are shifting toward a digital and decentralized format. A significant transformation is underway with...]]></content:encoded>
    <dc:title><![CDATA[Optimized XGBoost for Ethereum Fraud Detection: A Cost-Sensitive Approach]]></dc:title><dc:creator>Supriya   P.</dc:creator><dc:creator>Rubah   Sheriff</dc:creator><dc:creator>Shreya   Padaki</dc:creator><dc:creator>Suchi V. Yadav</dc:creator><dc:creator>Varsha   Thaku</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2802.2815</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-01-10; | doi:10.3844/jcssp.2025.2802.2815</dc:source>
    <dc:date>2026-01-10</dc:date>
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    <title><![CDATA[Bibliometric Analysis of Missing Value Imputation (MVI) Research Using Python and VOSviewer: Trends and Future Directions]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2816.2833</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 20 January 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2816.2833">doi:10.3844/jcssp.2025.2816.2833</a></p>Incomplete data is a pervasive issue in data science, posing significant challenges for statistical analysis and machine learning applications. Missing Value Imputation (MVI) has thus emerged as a cri...]]></content:encoded>
    <dc:title><![CDATA[Bibliometric Analysis of Missing Value Imputation (MVI) Research Using Python and VOSviewer: Trends and Future Directions]]></dc:title><dc:creator>Samsul   Arifin</dc:creator><dc:creator>Muhammad   Faisal</dc:creator><dc:creator>Edwin Kristianto Sijabat</dc:creator><dc:creator>Ni Njoman Manik Susantini</dc:creator><dc:creator>Okta Nindita Priambodo</dc:creator><dc:creator>Idad Syaeful Haq</dc:creator><dc:creator>Wiwik   Wiyanti</dc:creator><dc:creator>Lolanda Hamim Annisa</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2816.2833</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-01-20; | doi:10.3844/jcssp.2025.2816.2833</dc:source>
    <dc:date>2026-01-20</dc:date>
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    <title><![CDATA[Latent Feature-Based Trust-Aware Model for Service Delegation in Social Internet of Things (SIoT)]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2834.2849</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 9 January 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2834.2849">doi:10.3844/jcssp.2025.2834.2849</a></p>The integration of social networking concepts into the Internet of Things (IoT) paradigm has given rise to Social IoT (SIoT) ecosystems, aiming to address challenges related to network navigation, ser...]]></content:encoded>
    <dc:title><![CDATA[Latent Feature-Based Trust-Aware Model for Service Delegation in Social Internet of Things (SIoT)]]></dc:title><dc:creator>    Rahul</dc:creator><dc:creator>    Venkatesh</dc:creator><dc:creator>Satish B Basapur</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2834.2849</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-01-09; | doi:10.3844/jcssp.2025.2834.2849</dc:source>
    <dc:date>2026-01-09</dc:date>
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    <title><![CDATA[Real MDS Codes for Error Correction: Construction and an Application on Federated Learning Pre Aggregation Validation]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2850.2861</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 27 February 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2850.2861">doi:10.3844/jcssp.2025.2850.2861</a></p>Real number codes play a crucial role in correcting errors within communication systems that involve the transmission of analog signals or continuous data. Among these codes, Maximum Distance Separabl...]]></content:encoded>
    <dc:title><![CDATA[Real MDS Codes for Error Correction: Construction and an Application on Federated Learning Pre Aggregation Validation]]></dc:title><dc:creator>Ravi Varma B.</dc:creator><dc:creator>N. Suresh Babu</dc:creator><dc:creator>Santhosh Kumar K. P.</dc:creator><dc:creator>Shailesh   Sivan</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2850.2861</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-27; | doi:10.3844/jcssp.2025.2850.2861</dc:source>
    <dc:date>2026-02-27</dc:date>
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    <title><![CDATA[Blockchain-Enabled Decisive Red Fox Optimizer-Based Feature Selection With Deep Learning-Based Intrusion Detection System]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 20 January 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2862.2873">doi:10.3844/jcssp.2025.2862.2873</a></p>Recently, Intrusion Detection Systems (IDS) using Deep Learning (DL) models become useful in accomplishing network security. The selected features serve as input to the DL model, which is trained on l...]]></content:encoded>
    <dc:title><![CDATA[Blockchain-Enabled Decisive Red Fox Optimizer-Based Feature Selection With Deep Learning-Based Intrusion Detection System]]></dc:title><dc:creator>C.   Ananth</dc:creator><dc:creator>S.   Sathiyarani</dc:creator><dc:creator>N.   Mohananthini</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2862.2873</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-01-20; | doi:10.3844/jcssp.2025.2862.2873</dc:source>
    <dc:date>2026-01-20</dc:date>
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    <title><![CDATA[Optimized Fractal Fusion Driven Deep Neural Network: An Efficient Hybrid Methodology for Disease Detection and Classification in Plant Leaves]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2874.2884</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 8 January 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2874.2884">doi:10.3844/jcssp.2025.2874.2884</a></p>Plant diseases and pest attacks are among the major issues in agriculture, which have a great impact on crop growth and yield. Early and correct detection of these diseases is vital for effective mana...]]></content:encoded>
    <dc:title><![CDATA[Optimized Fractal Fusion Driven Deep Neural Network: An Efficient Hybrid Methodology for Disease Detection and Classification in Plant Leaves]]></dc:title><dc:creator>Deepkiran   Munjal</dc:creator><dc:creator>Mrinal   Pandey</dc:creator><dc:creator>Laxman   Singh</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2874.2884</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-01-08; | doi:10.3844/jcssp.2025.2874.2884</dc:source>
    <dc:date>2026-01-08</dc:date>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2885.2897">
    <title><![CDATA[ICT-Based Blended Learningin the Information Age: AnApproach for Enhanced Learning Motivation]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2885.2897</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 26 January 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2885.2897">doi:10.3844/jcssp.2025.2885.2897</a></p>Blended Learning (BL) learning has emerged as a transformative approach in higher education, combining traditional face-to-face instruction with the advantages of online learning to enhance the educat...]]></content:encoded>
    <dc:title><![CDATA[ICT-Based Blended Learningin the Information Age: AnApproach for Enhanced Learning Motivation]]></dc:title><dc:creator>Fayez   Khazalah</dc:creator><dc:creator>Yousef   Aljaraideh</dc:creator><dc:creator>Anas   Husain</dc:creator><dc:creator>Ahmad   Rabee</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2885.2897</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-01-26; | doi:10.3844/jcssp.2025.2885.2897</dc:source>
    <dc:date>2026-01-26</dc:date>
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    <title><![CDATA[An Optimized Multi-Layer Perceptron Framework for Detecting and Classifying IoT Attacks]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2898.2905</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 11 February 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2898.2905">doi:10.3844/jcssp.2025.2898.2905</a></p>The Internet of Things (IoT) is revolutionizing industries by connecting billions of smart devices, enabling automation and information exchange. The expansion of IoT ecosystems has simultaneously inc...]]></content:encoded>
    <dc:title><![CDATA[An Optimized Multi-Layer Perceptron Framework for Detecting and Classifying IoT Attacks]]></dc:title><dc:creator>Sanchit   Vashisht</dc:creator><dc:creator>Shalli   Rani</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2898.2905</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-11; | doi:10.3844/jcssp.2025.2898.2905</dc:source>
    <dc:date>2026-02-11</dc:date>
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    <title><![CDATA[Tomato Leaf Disease Detection by Hybrid Ai and Ml Technology]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2906.2916</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 12 February 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2906.2916">doi:10.3844/jcssp.2025.2906.2916</a></p>Diseases that affect plants contribute to productivity decline, but they can be managed with ongoing monitoring. It is time-consuming and prone to error to track plant diseases manually. Early disease...]]></content:encoded>
    <dc:title><![CDATA[Tomato Leaf Disease Detection by Hybrid Ai and Ml Technology]]></dc:title><dc:creator>P.   Loganathan</dc:creator><dc:creator>M. John   Britto</dc:creator><dc:creator>Vinston   Raja</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2906.2916</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-12; | doi:10.3844/jcssp.2025.2906.2916</dc:source>
    <dc:date>2026-02-12</dc:date>
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    <title><![CDATA[Enhancing Facial Expression Recognition Accuracy Through Haar Cascade-Based Feature Extraction]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 21 January 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2917.2927">doi:10.3844/jcssp.2025.2917.2927</a></p>Facial Expression Recognition (FER) has a significant interest because of its increased applications in Human-Computer Interaction (HCI), like video interactions, emotion analysis, image indexing, and...]]></content:encoded>
    <dc:title><![CDATA[Enhancing Facial Expression Recognition Accuracy Through Haar Cascade-Based Feature Extraction]]></dc:title><dc:creator>Thambusamy   Velmurugan</dc:creator><dc:creator>Lakshminarayanan   Meena</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2917.2927</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-01-21; | doi:10.3844/jcssp.2025.2917.2927</dc:source>
    <dc:date>2026-01-21</dc:date>
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    <title><![CDATA[A Comparative Study of Machine Learning Algorithms for Skin Cancer Detection]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 23 January 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2928.2939">doi:10.3844/jcssp.2025.2928.2939</a></p>The skin is the largest organ in the human body, covering an area of around 20 square feet. Our skin keeps us safe from germs and the environment, helps us regulate our body temperature, and gives us ...]]></content:encoded>
    <dc:title><![CDATA[A Comparative Study of Machine Learning Algorithms for Skin Cancer Detection]]></dc:title><dc:creator>Vineeth   Victor</dc:creator><dc:creator>Amit Kumr Tyagi</dc:creator><dc:creator>Khushboo   Tripathi</dc:creator><dc:creator>Kajal   Rai</dc:creator><dc:creator>Ravi Prakash Chaturvedi</dc:creator><dc:creator>Lalan   Kumar</dc:creator><dc:creator>Pragya   Siddhi</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2928.2939</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-01-23; | doi:10.3844/jcssp.2025.2928.2939</dc:source>
    <dc:date>2026-01-23</dc:date>
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    <prism:url>https://thescipub.com/jcs/jcssp.2025.2928.2939</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2940.2950">
    <title><![CDATA[Unveiling the Performance: A Comparative Study of HMAC and RSA Encryption on SHA-512]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2940.2950</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 22 January 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2940.2950">doi:10.3844/jcssp.2025.2940.2950</a></p>The study evaluates critical operations including token signing, verification, and decoding, as well as data transfer efficiency, utilizing the jsonwebtoken library. By benchmarking these operations, ...]]></content:encoded>
    <dc:title><![CDATA[Unveiling the Performance: A Comparative Study of HMAC and RSA Encryption on SHA-512]]></dc:title><dc:creator>Louis   Leonardo</dc:creator><dc:creator>    Rojali</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2940.2950</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-01-22; | doi:10.3844/jcssp.2025.2940.2950</dc:source>
    <dc:date>2026-01-22</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2940.2950</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2940.2950</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2951.2964">
    <title><![CDATA[Fake News Detection Using Weighted Fine-Tuned BERT and Sparse Recurrent Neural Network]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2951.2964</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 23 January 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2951.2964">doi:10.3844/jcssp.2025.2951.2964</a></p>Fake news refers to misinformation or false reports shared in the form of images, articles, or videos, disguised as real news to manipulate people’s opinions. Recently, fake news and rumors have spr...]]></content:encoded>
    <dc:title><![CDATA[Fake News Detection Using Weighted Fine-Tuned BERT and Sparse Recurrent Neural Network]]></dc:title><dc:creator>Asha   Kathigi</dc:creator><dc:creator>Mukta   Pujar</dc:creator><dc:creator>A M S   Akshatha</dc:creator><dc:creator>RN   Shilpa</dc:creator><dc:creator>Shivaranjani S. Shirabadagi</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2951.2964</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-01-23; | doi:10.3844/jcssp.2025.2951.2964</dc:source>
    <dc:date>2026-01-23</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2951.2964</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2951.2964</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2965.2974">
    <title><![CDATA[Recognizing Sign Language Gestures Using a Hybrid Spatio-Temporal Deep Learning Model]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2965.2974</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 23 January 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2965.2974">doi:10.3844/jcssp.2025.2965.2974</a></p>Recognizing gestures in American Sign Language (ASL) from video data presents significant challenges due to the intricate combination of hand gestures, facial cues, and body motion. In this work, we i...]]></content:encoded>
    <dc:title><![CDATA[Recognizing Sign Language Gestures Using a Hybrid Spatio-Temporal Deep Learning Model]]></dc:title><dc:creator>Meryem   Cherrate</dc:creator><dc:creator>My Abdelouahed   Sabri</dc:creator><dc:creator>Ali   Yahyaouy</dc:creator><dc:creator>Abdellah   Aarab</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2965.2974</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-01-23; | doi:10.3844/jcssp.2025.2965.2974</dc:source>
    <dc:date>2026-01-23</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2965.2974</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2965.2974</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2975.2985">
    <title><![CDATA[Identification of Fraud in Accidental and Healthcare Insurance Using Local Outlier Factor: A Machine Learning Approach]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2975.2985</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 22 January 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2975.2985">doi:10.3844/jcssp.2025.2975.2985</a></p>An unsupervised machine learning model that uses the mechanism of the Local Outlier Factor to flag and detect ambiguous as well as potentially fraudulent claims in Accidental and Healthcare insurance ...]]></content:encoded>
    <dc:title><![CDATA[Identification of Fraud in Accidental and Healthcare Insurance Using Local Outlier Factor: A Machine Learning Approach]]></dc:title><dc:creator>Jyoti   Lele</dc:creator><dc:creator>Vaidehi   Deshmukh</dc:creator><dc:creator>Abhinav   Chandra</dc:creator><dc:creator>Radhika   Desai</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2975.2985</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-01-22; | doi:10.3844/jcssp.2025.2975.2985</dc:source>
    <dc:date>2026-01-22</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2975.2985</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2975.2985</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2986.3004">
    <title><![CDATA[Optimized Feature Selection for Kidney Ultrasound Image Classification Using Binary Coati Weighted Mean Vector Algorithm]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2986.3004</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 22 January 2026; <a href="https://thescipub.com/jcs/jcssp.2025.2986.3004">doi:10.3844/jcssp.2025.2986.3004</a></p>The analysis of medical images presents many challenges, especially when making precise diagnoses. In pediatric Chronic Kidney Disease (CKD), early identification is critical because of its gradual pr...]]></content:encoded>
    <dc:title><![CDATA[Optimized Feature Selection for Kidney Ultrasound Image Classification Using Binary Coati Weighted Mean Vector Algorithm]]></dc:title><dc:creator>Fizhan   Kausar</dc:creator><dc:creator>Ramamurthy   B.</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2986.3004</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-01-22; | doi:10.3844/jcssp.2025.2986.3004</dc:source>
    <dc:date>2026-01-22</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2986.3004</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2986.3004</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.3005.3018">
    <title><![CDATA[Implementing a Hybrid Parallel Framework Utilizing Machine and Deep Learning for Rapid Rumor Detection in Social Media]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.3005.3018</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 27 January 2026; <a href="https://thescipub.com/jcs/jcssp.2025.3005.3018">doi:10.3844/jcssp.2025.3005.3018</a></p>Numerous businesses have faced significant repercussions due to the widespread dissemination of false information and rumors across social media platforms. The impact of fake news extends to tarnishin...]]></content:encoded>
    <dc:title><![CDATA[Implementing a Hybrid Parallel Framework Utilizing Machine and Deep Learning for Rapid Rumor Detection in Social Media]]></dc:title><dc:creator>Neetu   Rani</dc:creator><dc:creator>Amit Kumar Bhardwaj</dc:creator><dc:creator>Shaily   Jain</dc:creator><dc:creator>Chander   Prabha</dc:creator><dc:creator>Prakash   Srivastava</dc:creator><dc:creator>Mohammad Zubair Khan</dc:creator><dc:creator>Jeehaan   Algaraady</dc:creator><dc:creator>Mohammad Mahyoob Albuhairy</dc:creator><dc:creator>Abdulaziz   Alblwi</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.3005.3018</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-01-27; | doi:10.3844/jcssp.2025.3005.3018</dc:source>
    <dc:date>2026-01-27</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.3005.3018</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.3005.3018</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.3019.3030">
    <title><![CDATA[Deep Learning Synergy: CNNs and Transformers for Epidemic Outbreak Forecasting]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.3019.3030</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 23 January 2026; <a href="https://thescipub.com/jcs/jcssp.2025.3019.3030">doi:10.3844/jcssp.2025.3019.3030</a></p>An Accurate prediction of outbreaks is extremely crucial for taking proactive public health interventions, distributing limited resources, and controlling a disease. This paper assesses and also compa...]]></content:encoded>
    <dc:title><![CDATA[Deep Learning Synergy: CNNs and Transformers for Epidemic Outbreak Forecasting]]></dc:title><dc:creator>Alexander   R.</dc:creator><dc:creator>Shakthi Priya V.</dc:creator><dc:creator>Sumathi   G.</dc:creator><dc:creator>Mary Valentina Janet  A.</dc:creator><dc:creator>Reni Hena Helan  R.</dc:creator><dc:creator>Sinduja   R.</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.3019.3030</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-01-23; | doi:10.3844/jcssp.2025.3019.3030</dc:source>
    <dc:date>2026-01-23</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.3019.3030</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.3019.3030</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.3031.3040">
    <title><![CDATA[Incorporation of Modified Region Growing into FCM Clustering for Extraction of Tumors in MR Images]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.3031.3040</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 12 February 2026; <a href="https://thescipub.com/jcs/jcssp.2025.3031.3040">doi:10.3844/jcssp.2025.3031.3040</a></p>Due to the tremendous growth of medical Magnetic Resonance (MR) images, it becomes an essential requirement for an automated extraction of diagnostically salient parts of the images to refine the tran...]]></content:encoded>
    <dc:title><![CDATA[Incorporation of Modified Region Growing into FCM Clustering for Extraction of Tumors in MR Images]]></dc:title><dc:creator>Lovepreet Singh Brar</dc:creator><dc:creator>Jaget   Singh</dc:creator><dc:creator>Bhawana   Agrawal</dc:creator><dc:creator>Sunil   Agrawal</dc:creator><dc:creator>Ayush   Dogra</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.3031.3040</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-12; | doi:10.3844/jcssp.2025.3031.3040</dc:source>
    <dc:date>2026-02-12</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.3031.3040</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.3031.3040</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.3041.3050">
    <title><![CDATA[Evaluating Machine Translation for Domain Specific Low-Resource Nepali-English Language Pairs: The Impact of Tokenization on Statistical and Neural Techniques]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.3041.3050</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 24 January 2026; <a href="https://thescipub.com/jcs/jcssp.2025.3041.3050">doi:10.3844/jcssp.2025.3041.3050</a></p>In the modern era, the field of Machine Translation (MT) has seen a significant shift towards Neural Machine Translation (NMT) techniques, which have surpassed traditional Statistical Machine Translat...]]></content:encoded>
    <dc:title><![CDATA[Evaluating Machine Translation for Domain Specific Low-Resource Nepali-English Language Pairs: The Impact of Tokenization on Statistical and Neural Techniques]]></dc:title><dc:creator>Amit Kumar Roy</dc:creator><dc:creator>Bipul Syam Purkayastha</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.3041.3050</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-01-24; | doi:10.3844/jcssp.2025.3041.3050</dc:source>
    <dc:date>2026-01-24</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.3041.3050</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.3041.3050</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.3051.3080">
    <title><![CDATA[An Occlusion Aware Facial Expression Recognition Model Using Fitness Based Cheetah Optimizer and Adaptive Multi-Scale ViT-CNN With Attention Mechanism]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.3051.3080</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 29 January 2026; <a href="https://thescipub.com/jcs/jcssp.2025.3051.3080">doi:10.3844/jcssp.2025.3051.3080</a></p>As a highly nuanced aspect of human communication, facial expression recognition presents a computationally complex problem, making it a prominent area of research in computer vision and affective com...]]></content:encoded>
    <dc:title><![CDATA[An Occlusion Aware Facial Expression Recognition Model Using Fitness Based Cheetah Optimizer and Adaptive Multi-Scale ViT-CNN With Attention Mechanism]]></dc:title><dc:creator>A. Reddy Prasad</dc:creator><dc:creator>A.   Rajesh</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.3051.3080</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-01-29; | doi:10.3844/jcssp.2025.3051.3080</dc:source>
    <dc:date>2026-01-29</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.3051.3080</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.3051.3080</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.3081.3088">
    <title><![CDATA[Internet of Things Based COVID-19 Patient in Self-Isolation Monitoring System]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.3081.3088</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 12 February 2026; <a href="https://thescipub.com/jcs/jcssp.2025.3081.3088">doi:10.3844/jcssp.2025.3081.3088</a></p>Self-isolation has become a critical measure for managing symptomatic or asymptomatic COVID-19 patients, particularly when healthcare facilities are overwhelmed. This study explores a monitoring syste...]]></content:encoded>
    <dc:title><![CDATA[Internet of Things Based COVID-19 Patient in Self-Isolation Monitoring System]]></dc:title><dc:creator>Bagaskara Akbar Fadhlillah</dc:creator><dc:creator>Ditdit Nugeraha Utama</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.3081.3088</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-12; | doi:10.3844/jcssp.2025.3081.3088</dc:source>
    <dc:date>2026-02-12</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.3081.3088</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.3081.3088</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.3089.3112">
    <title><![CDATA[Convergence of GenAI and RPA: A Digital Heaven in Supply Chain Optimization Process]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.3089.3112</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 8 February 2026; <a href="https://thescipub.com/jcs/jcssp.2025.3089.3112">doi:10.3844/jcssp.2025.3089.3112</a></p>One of the most groundbreaking advances in the field of intelligent automation is the merging of Generative Artificial Intelligence (GenAI) and Robotic Process Automation (RPA). This combination unloc...]]></content:encoded>
    <dc:title><![CDATA[Convergence of GenAI and RPA: A Digital Heaven in Supply Chain Optimization Process]]></dc:title><dc:creator>Saurabh  A. Pahune</dc:creator><dc:creator>Zahid   Akhtar</dc:creator><dc:creator>Manoj   Chandrasekharan</dc:creator><dc:creator>Shipra Shivkumar Yadav</dc:creator><dc:creator>Kamran  Siddique</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.3089.3112</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-08; | doi:10.3844/jcssp.2025.3089.3112</dc:source>
    <dc:date>2026-02-08</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.3089.3112</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.3089.3112</prism:url>
    </item></rdf:RDF>