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<title>Volume 22, Issue 1 (2026) | Journal of Computer Science</title>
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    <title><![CDATA[Cuckoo Search Optimized Random Forest for Breast Cancer Prognosis]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 31 January 2026; <a href="https://thescipub.com/jcs/jcssp.2026.1.8">doi:10.3844/jcssp.2026.1.8</a></p>Breast cancer remains a major global health concern due to its high mortality rate, particularly when diagnosis occurs at an advanced stage. Accurate and early differentiation between benign and malig...]]></content:encoded>
    <dc:title><![CDATA[Cuckoo Search Optimized Random Forest for Breast Cancer Prognosis]]></dc:title><dc:creator>Prasad S. Sase</dc:creator><dc:creator>Debabrata   Swain</dc:creator><dc:creator>Shailesh   Kumar</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.1.8</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-01-31; | doi:10.3844/jcssp.2026.1.8</dc:source>
    <dc:date>2026-01-31</dc:date>
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    <prism:doi>10.3844/jcssp.2026.1.8</prism:doi>
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    <title><![CDATA[Speech Corpora for Different Languages: A Systematic Review]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 2 February 2026; <a href="https://thescipub.com/jcs/jcssp.2026.9.24">doi:10.3844/jcssp.2026.9.24</a></p>The study of speech signals relies on carefully curated audio recordings, which are compiled and stored within specialized speech corpora. This article provides a comprehensive overview of such corpor...]]></content:encoded>
    <dc:title><![CDATA[Speech Corpora for Different Languages: A Systematic Review]]></dc:title><dc:creator>Vladimir Igorevich Fedoseev</dc:creator><dc:creator>Anton Aleksandrovich Konev </dc:creator><dc:creator>Natalia Sergeevna Repyuk</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.9.24</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-02; | doi:10.3844/jcssp.2026.9.24</dc:source>
    <dc:date>2026-02-02</dc:date>
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    <prism:doi>10.3844/jcssp.2026.9.24</prism:doi>
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    <title><![CDATA[Artificial Intelligence in Quality Control: Transforming Manufacturing Processes]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.25.35</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 12 February 2026; <a href="https://thescipub.com/jcs/jcssp.2026.25.35">doi:10.3844/jcssp.2026.25.35</a></p>The integration of Artificial Intelligence (AI) into Quality Control (QC) is transforming manufacturing by enhancing accuracy, efficiency, and productivity. Traditional QC methods, reliant on manual i...]]></content:encoded>
    <dc:title><![CDATA[Artificial Intelligence in Quality Control: Transforming Manufacturing Processes]]></dc:title><dc:creator>Gopinath   Kathiresan</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.25.35</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-12; | doi:10.3844/jcssp.2026.25.35</dc:source>
    <dc:date>2026-02-12</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.25.35</prism:doi>
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    <title><![CDATA[A Multi-Modal Image Fusion Approach for Visual and Infrared Images via Shearlet-Based Decomposition]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.36.46</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 2 February 2026; <a href="https://thescipub.com/jcs/jcssp.2026.36.46">doi:10.3844/jcssp.2026.36.46</a></p>The integration of optical lens technologies with night vision has become necessary due to the increasing demand to enhance public safety and surveillance, particularly in vulnerable areas, public tra...]]></content:encoded>
    <dc:title><![CDATA[A Multi-Modal Image Fusion Approach for Visual and Infrared Images via Shearlet-Based Decomposition]]></dc:title><dc:creator>Apoorav   Sharma</dc:creator><dc:creator>Shagun   Sharma</dc:creator><dc:creator>Kalpna   Guleria</dc:creator><dc:creator>Ayush   Dogra</dc:creator><dc:creator>Pankaj   Lathar</dc:creator><dc:creator>Archana   Saini</dc:creator><dc:creator>Bhawna   Goyal</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.36.46</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-02; | doi:10.3844/jcssp.2026.36.46</dc:source>
    <dc:date>2026-02-02</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.36.46</prism:doi>
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    <title><![CDATA[A Novel Deep Learning Approach for Tomato Leaf Disease Detection Using Optimized CNN Architecture]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.47.60</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 7 February 2026; <a href="https://thescipub.com/jcs/jcssp.2026.47.60">doi:10.3844/jcssp.2026.47.60</a></p>Early disease detection in plants is essential for sustaining agricultural yield and guaranteeing food security. A comparative analysis of transformer-based and convolutional based deep learning model...]]></content:encoded>
    <dc:title><![CDATA[A Novel Deep Learning Approach for Tomato Leaf Disease Detection Using Optimized CNN Architecture]]></dc:title><dc:creator>Sunil K. Vithalani </dc:creator><dc:creator>Vipul K. Dabhi</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.47.60</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-07; | doi:10.3844/jcssp.2026.47.60</dc:source>
    <dc:date>2026-02-07</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.47.60</prism:doi>
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    <title><![CDATA[Improving Diabetes Risk Prediction Using Ensemble Boosting and SMOTE-Based Class Balancing]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.61.74</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 1 February 2026; <a href="https://thescipub.com/jcs/jcssp.2026.61.74">doi:10.3844/jcssp.2026.61.74</a></p>Accurate diabetes prediction is vital for early intervention, optimized resource allocation, and minimizing long-term complications. This study presents a comparative evaluation of traditional and adv...]]></content:encoded>
    <dc:title><![CDATA[Improving Diabetes Risk Prediction Using Ensemble Boosting and SMOTE-Based Class Balancing]]></dc:title><dc:creator>Kittipol   Wisaeng</dc:creator><dc:creator>Pankom   Sriboonlue</dc:creator><dc:creator>Benchalak   Muangmeesri</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.61.74</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-01; | doi:10.3844/jcssp.2026.61.74</dc:source>
    <dc:date>2026-02-01</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.61.74</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.75.86">
    <title><![CDATA[Developing an Effective Churn Prediction Model for Telecommunications: Enhancing Customer Retention through Advanced Machine Learning Techniques]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.75.86</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 3 February 2026; <a href="https://thescipub.com/jcs/jcssp.2026.75.86">doi:10.3844/jcssp.2026.75.86</a></p>Customer churn poses a significant challenge for the telecommunications sector, resulting in substantial revenue losses and increased customer acquisition costs. This research creates an efficient chu...]]></content:encoded>
    <dc:title><![CDATA[Developing an Effective Churn Prediction Model for Telecommunications: Enhancing Customer Retention through Advanced Machine Learning Techniques]]></dc:title><dc:creator>Ashu   Goyal</dc:creator><dc:creator>Anuj   Gupta</dc:creator><dc:creator>Sharad   Kumar</dc:creator><dc:creator>Satyam Kumar Sainy</dc:creator><dc:creator>Pawan Kumar Mall</dc:creator><dc:creator>Vipul   Narayan</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.75.86</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-03; | doi:10.3844/jcssp.2026.75.86</dc:source>
    <dc:date>2026-02-03</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.75.86</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.87.99">
    <title><![CDATA[A Dynamic AI Maturity Model for Agile Audit: A Roadmap for Enhanced Effectiveness and Innovation]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.87.99</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 3 February 2026; <a href="https://thescipub.com/jcs/jcssp.2026.87.99">doi:10.3844/jcssp.2026.87.99</a></p>The intersection of Artificial Intelligence (AI) and agile methodologies is transforming information systems audit by enabling real-time risk assessment, anomaly detection, and automated control testi...]]></content:encoded>
    <dc:title><![CDATA[A Dynamic AI Maturity Model for Agile Audit: A Roadmap for Enhanced Effectiveness and Innovation]]></dc:title><dc:creator>Soumaya   Amraoui</dc:creator><dc:creator>Mina   Elmaallam</dc:creator><dc:creator>Mahmoud   Nassar</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.87.99</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-03; | doi:10.3844/jcssp.2026.87.99</dc:source>
    <dc:date>2026-02-03</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.87.99</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.87.99</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.100.110">
    <title><![CDATA[Comparative Analysis of Wavelet, Curvelet, and Contourlet Transforms for Denoising Liver CT Images]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.100.110</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 4 February 2026; <a href="https://thescipub.com/jcs/jcssp.2026.100.110">doi:10.3844/jcssp.2026.100.110</a></p>Liver cancer is one of the leading causes of mortality worldwide, and early detection using CT imaging plays a critical role in patient survival. However, the quality of CT scans is often degraded by ...]]></content:encoded>
    <dc:title><![CDATA[Comparative Analysis of Wavelet, Curvelet, and Contourlet Transforms for Denoising Liver CT Images]]></dc:title><dc:creator>Majzoob Kamalaldin Omer Abdalrahman</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.100.110</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-04; | doi:10.3844/jcssp.2026.100.110</dc:source>
    <dc:date>2026-02-04</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.100.110</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.100.110</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.111.120">
    <title><![CDATA[Comparative Analysis of Neural Network Models for Predicting EUR/USD Direction: An Empirical Study]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.111.120</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 3 February 2026; <a href="https://thescipub.com/jcs/jcssp.2026.111.120">doi:10.3844/jcssp.2026.111.120</a></p>This paper presents a rigorous comparative analysis of six feedforward neural network models for predicting the directional movement of the EUR/USD currency pair. The evaluated models include the Lear...]]></content:encoded>
    <dc:title><![CDATA[Comparative Analysis of Neural Network Models for Predicting EUR/USD Direction: An Empirical Study]]></dc:title><dc:creator>El Badaoui   Mohamed</dc:creator><dc:creator>Raouyane   Brahim</dc:creator><dc:creator>El Moumen   Samira</dc:creator><dc:creator>Bellafkih   Mostafa</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.111.120</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-03; | doi:10.3844/jcssp.2026.111.120</dc:source>
    <dc:date>2026-02-03</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.111.120</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.121.129">
    <title><![CDATA[Predictive Analytics and Procurement Visibility: A Big-Data-Driven Approach to Customer Satisfaction in Supply Chain Management]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.121.129</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 3 February 2026; <a href="https://thescipub.com/jcs/jcssp.2026.121.129">doi:10.3844/jcssp.2026.121.129</a></p>In the current dynamic and consumer driven market environment, supply chains need to move out of reactive to the proactive ecosystems. One of the most urgent requirements is increasing procurement vis...]]></content:encoded>
    <dc:title><![CDATA[Predictive Analytics and Procurement Visibility: A Big-Data-Driven Approach to Customer Satisfaction in Supply Chain Management]]></dc:title><dc:creator>Devendra Nath Pathak</dc:creator><dc:creator>Rakesh Kumar Yadav</dc:creator><dc:creator>Hitendra   Singh</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.121.129</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-03; | doi:10.3844/jcssp.2026.121.129</dc:source>
    <dc:date>2026-02-03</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.121.129</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.121.129</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.130.146">
    <title><![CDATA[Q-Optimizer: An AI-Based Optimization Framework for Efficient SDN Routing and QoS Enhancement]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.130.146</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 3 February 2026; <a href="https://thescipub.com/jcs/jcssp.2026.130.146">doi:10.3844/jcssp.2026.130.146</a></p>With their rigid layers, traditional networks do not meet evolving traffic demands. As a result, they tend to face congestion along with un-optimized routing. SDN controls traffic management by introd...]]></content:encoded>
    <dc:title><![CDATA[Q-Optimizer: An AI-Based Optimization Framework for Efficient SDN Routing and QoS Enhancement]]></dc:title><dc:creator>Deepthi   Goteti</dc:creator><dc:creator>Vurrury Krishna Reddy</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.130.146</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-03; | doi:10.3844/jcssp.2026.130.146</dc:source>
    <dc:date>2026-02-03</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.130.146</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.130.146</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.147.161">
    <title><![CDATA[Enhancing Dam Safety and Management: Long Short-Term Memory Based Predictive Models for Accurate Alert Forecasting]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.147.161</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 6 February 2026; <a href="https://thescipub.com/jcs/jcssp.2026.147.161">doi:10.3844/jcssp.2026.147.161</a></p>Dam management and early alert systems are critical for effective water resource management. Accurate prediction of dam alert signals facilitates proactive decision-making, thereby aiding in the effec...]]></content:encoded>
    <dc:title><![CDATA[Enhancing Dam Safety and Management: Long Short-Term Memory Based Predictive Models for Accurate Alert Forecasting]]></dc:title><dc:creator>Nisha   C. M </dc:creator><dc:creator>N.   Thangarasu</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.147.161</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-06; | doi:10.3844/jcssp.2026.147.161</dc:source>
    <dc:date>2026-02-06</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.147.161</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.147.161</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.162.170">
    <title><![CDATA[Auto Weight Dilated Convolutional Ensemble Network for the Severity Analysis of Lung Cancer in CT Images]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.162.170</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 9 February 2026; <a href="https://thescipub.com/jcs/jcssp.2026.162.170">doi:10.3844/jcssp.2026.162.170</a></p>Lung cancer is one of the world's leading causes of morbidity and mortality; improving patient outcomes requires an early and precise diagnosis. Lesion and tumor segmentation remains a challenging tas...]]></content:encoded>
    <dc:title><![CDATA[Auto Weight Dilated Convolutional Ensemble Network for the Severity Analysis of Lung Cancer in CT Images]]></dc:title><dc:creator>L.   Sandhya</dc:creator><dc:creator>K.   Marimuthu</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.162.170</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-09; | doi:10.3844/jcssp.2026.162.170</dc:source>
    <dc:date>2026-02-09</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.162.170</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.162.170</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.171.184">
    <title><![CDATA[A Novel Hybrid Machine and Deep Learning Model for Detecting Arabic Phishing Emails]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.171.184</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 9 February 2026; <a href="https://thescipub.com/jcs/jcssp.2026.171.184">doi:10.3844/jcssp.2026.171.184</a></p>Phishing emails are becoming an increasingly popular type of cybercrime on the internet, affecting both businesses and individuals. The attackers generally use various methods to trick victims and ext...]]></content:encoded>
    <dc:title><![CDATA[A Novel Hybrid Machine and Deep Learning Model for Detecting Arabic Phishing Emails]]></dc:title><dc:creator>Fahad   Ghabban</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.171.184</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-09; | doi:10.3844/jcssp.2026.171.184</dc:source>
    <dc:date>2026-02-09</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.171.184</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.171.184</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.185.201">
    <title><![CDATA[A Lightweight and Privacy-Preserving Biometric Authentication Framework for Sustainable IoMT Systems]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.185.201</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 9 February 2026; <a href="https://thescipub.com/jcs/jcssp.2026.185.201">doi:10.3844/jcssp.2026.185.201</a></p>Biometric authentication provides secure, identity-bound access control for the Internet of Medical Things (IoMT), crucial for wearable, implantable, and ambient devices. However, the inherent immutab...]]></content:encoded>
    <dc:title><![CDATA[A Lightweight and Privacy-Preserving Biometric Authentication Framework for Sustainable IoMT Systems]]></dc:title><dc:creator>Saima Anwar Lashari</dc:creator><dc:creator>Mahmood A. Al-Shareeda</dc:creator><dc:creator>Mahmood A. Al-Shareeda</dc:creator><dc:creator>Mohammed Amin Almaiah</dc:creator><dc:creator>Rami   Shehab</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.185.201</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-09; | doi:10.3844/jcssp.2026.185.201</dc:source>
    <dc:date>2026-02-09</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.185.201</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.185.201</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.202.217">
    <title><![CDATA[Evaluating Online Learning in India: Insights from Students]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.202.217</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 10 February 2026; <a href="https://thescipub.com/jcs/jcssp.2026.202.217">doi:10.3844/jcssp.2026.202.217</a></p>As technology has advanced, the educational system has undergone numerous modifications. The benefits of online teaching and learning include increased accessibility, reduced costs, and the opportunit...]]></content:encoded>
    <dc:title><![CDATA[Evaluating Online Learning in India: Insights from Students]]></dc:title><dc:creator>Ritu   Gupta</dc:creator><dc:creator>Anuradha   Khattar</dc:creator><dc:creator>Meetu Bhatia Grover</dc:creator><dc:creator>Seema   Aggarwal</dc:creator><dc:creator>Priti Rai Jain</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.202.217</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-10; | doi:10.3844/jcssp.2026.202.217</dc:source>
    <dc:date>2026-02-10</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.202.217</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.202.217</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.218.228">
    <title><![CDATA[Robust Adversarial Attack Detection via Generative Adversarial Network With Residual Multi-Layer Aggregation Based Contrastive Loss Function]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.218.228</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 10 February 2026; <a href="https://thescipub.com/jcs/jcssp.2026.218.228">doi:10.3844/jcssp.2026.218.228</a></p>Adversarial attacks in medical imaging refer to subtle modifications to images that mislead diagnostic systems, resulting in inaccurate diagnoses and assessments. These attacks exploit vulnerabilities...]]></content:encoded>
    <dc:title><![CDATA[Robust Adversarial Attack Detection via Generative Adversarial Network With Residual Multi-Layer Aggregation Based Contrastive Loss Function]]></dc:title><dc:creator>Amudha   Gopalakrishnan</dc:creator><dc:creator>Nalini   Joseph</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.218.228</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-10; | doi:10.3844/jcssp.2026.218.228</dc:source>
    <dc:date>2026-02-10</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.218.228</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.218.228</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.229.243">
    <title><![CDATA[Towards an Explainable Approach: Hybrid Residual Network and SVM for Automated Brain Tumor Detection and Classification]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.229.243</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 11 February 2026; <a href="https://thescipub.com/jcs/jcssp.2026.229.243">doi:10.3844/jcssp.2026.229.243</a></p>The abnormal growth of brain cells leads to tumor formation, which can be fatal if not detected and treated promptly. Given the complexity of brain tumors, early detection is critical in healthcare. T...]]></content:encoded>
    <dc:title><![CDATA[Towards an Explainable Approach: Hybrid Residual Network and SVM for Automated Brain Tumor Detection and Classification]]></dc:title><dc:creator>Kamini   Lamba</dc:creator><dc:creator>Shalli   Rani</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.229.243</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-11; | doi:10.3844/jcssp.2026.229.243</dc:source>
    <dc:date>2026-02-11</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.229.243</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.229.243</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.244.259">
    <title><![CDATA[Classifcation of Social Media Posts X For Mental Health Symptoms Identification Using NLP Techniques and Transformers Model]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.244.259</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 11 February 2026; <a href="https://thescipub.com/jcs/jcssp.2026.244.259">doi:10.3844/jcssp.2026.244.259</a></p>The increasing use of social media has enabled large-scale analysis of user-generated content to monitor mental health trends. This study focuses on sentiment prediction of mental health-related posts...]]></content:encoded>
    <dc:title><![CDATA[Classifcation of Social Media Posts X For Mental Health Symptoms Identification Using NLP Techniques and Transformers Model]]></dc:title><dc:creator>Andika Dwi Asmoro Wicaksono</dc:creator><dc:creator>    Rojali</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.244.259</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-11; | doi:10.3844/jcssp.2026.244.259</dc:source>
    <dc:date>2026-02-11</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.244.259</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.244.259</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.260.272">
    <title><![CDATA[Machine Learning Advancements for Lung Cancer Detection: An In-Depth Review and Future Prospects]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.260.272</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 1 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.260.272">doi:10.3844/jcssp.2026.260.272</a></p>Lung cancer is a major cause of cancer-related mortality globally, underscoring the necessity for efficient diagnostic instruments. The review paper summarizes the role of ML and DL in detection, stag...]]></content:encoded>
    <dc:title><![CDATA[Machine Learning Advancements for Lung Cancer Detection: An In-Depth Review and Future Prospects]]></dc:title><dc:creator>Aanchal   Vij</dc:creator><dc:creator>Kuldeep Singh Kaswan</dc:creator><dc:creator>Anand   Nayyar</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.260.272</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-01; | doi:10.3844/jcssp.2026.260.272</dc:source>
    <dc:date>2026-03-01</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.260.272</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.260.272</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.273.383">
    <title><![CDATA[Spatio-Temporal Anomaly Detection in Groundwater Electrical Conductivity Using a Hybrid Framework of Isolation Forest and Autoencoder]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.273.383</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 14 February 2026; <a href="https://thescipub.com/jcs/jcssp.2026.273.383">doi:10.3844/jcssp.2026.273.383</a></p>Monitoring groundwater quality is vital for environmental safety and resource sustainability. This study combines Isolation Forest and Autoencoder models to detect anomalies in Electrical Conductivity...]]></content:encoded>
    <dc:title><![CDATA[Spatio-Temporal Anomaly Detection in Groundwater Electrical Conductivity Using a Hybrid Framework of Isolation Forest and Autoencoder]]></dc:title><dc:creator>Eunji   Lee</dc:creator><dc:creator>Seunghyun   Lim</dc:creator><dc:creator>Seojun  Lee</dc:creator><dc:creator>Abhijit    Debnath</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.273.383</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-14; | doi:10.3844/jcssp.2026.273.383</dc:source>
    <dc:date>2026-02-14</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.273.383</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.273.383</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.284.308">
    <title><![CDATA[Employing Hybrid Serial Cascaded Adaptive Network for Anomaly Detection and Prevention in IoT Time Series Data With Optimal Interdomain Routing]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.284.308</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 21 February 2026; <a href="https://thescipub.com/jcs/jcssp.2026.284.308">doi:10.3844/jcssp.2026.284.308</a></p>Nowadays, emerging Internet of Things (IoT) in data processing becomes interested research topic and is used for various applications. This varies from big data processing and analytics for accumulati...]]></content:encoded>
    <dc:title><![CDATA[Employing Hybrid Serial Cascaded Adaptive Network for Anomaly Detection and Prevention in IoT Time Series Data With Optimal Interdomain Routing]]></dc:title><dc:creator>Kante   Satyanarayana</dc:creator><dc:creator>K.   Venkatesh</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.284.308</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-21; | doi:10.3844/jcssp.2026.284.308</dc:source>
    <dc:date>2026-02-21</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.284.308</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.284.308</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.309.333">
    <title><![CDATA[A Survey of Quadratization Methods Used in QUBO Formulations and their Usage in Quantum and Digital Annealing]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.309.333</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 16 February 2026; <a href="https://thescipub.com/jcs/jcssp.2026.309.333">doi:10.3844/jcssp.2026.309.333</a></p>Quantum annealing is a metaheuristic method aimed at finding the global minimum of a pseudo-Boolean quadratic function. To solve a problem by a quantum annealer, it must be restated as a QUBO (quadrat...]]></content:encoded>
    <dc:title><![CDATA[A Survey of Quadratization Methods Used in QUBO Formulations and their Usage in Quantum and Digital Annealing]]></dc:title><dc:creator>Geethika   Prabhath</dc:creator><dc:creator>Anuradha   Mahasinghe</dc:creator><dc:creator>Nalin   Ranasinghe</dc:creator><dc:creator>Kasun De Zoysa</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.309.333</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-16; | doi:10.3844/jcssp.2026.309.333</dc:source>
    <dc:date>2026-02-16</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.309.333</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.309.333</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.334.359">
    <title><![CDATA[Deepfake Technology: A Comprehensive Review of Trends, Applications, Ethical Concerns, and Challenges]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.334.359</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 17 February 2026; <a href="https://thescipub.com/jcs/jcssp.2026.334.359">doi:10.3844/jcssp.2026.334.359</a></p>The digital age has fundamentally transformed how information is created and disseminated, raising critical concerns about the authenticity and trustworthiness of online content. Recent advances in Ar...]]></content:encoded>
    <dc:title><![CDATA[Deepfake Technology: A Comprehensive Review of Trends, Applications, Ethical Concerns, and Challenges]]></dc:title><dc:creator>Battula Thirumaleshwari Devi</dc:creator><dc:creator>Rajkumar   Rajasekaran</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.334.359</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-17; | doi:10.3844/jcssp.2026.334.359</dc:source>
    <dc:date>2026-02-17</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.334.359</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.334.359</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.360.366">
    <title><![CDATA[Hindi Poetry Translation Using Neural Machine Translation]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.360.366</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 16 February 2026; <a href="https://thescipub.com/jcs/jcssp.2026.360.366">doi:10.3844/jcssp.2026.360.366</a></p>Neural Machine Translation (NMT) has become an essential tool in Natural Language Processing (NLP), enabling the automatic translation of text across languages. However, translating poetry remains a r...]]></content:encoded>
    <dc:title><![CDATA[Hindi Poetry Translation Using Neural Machine Translation]]></dc:title><dc:creator>Pragya   Tewari</dc:creator><dc:creator>Anurag Singh Baghel</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.360.366</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-16; | doi:10.3844/jcssp.2026.360.366</dc:source>
    <dc:date>2026-02-16</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.360.366</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.360.366</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.367.377">
    <title><![CDATA[e-Governance Practices in Nepal: Opportunities, Challenges, and Strategies from the Local Level]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.367.377</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 16 February 2026; <a href="https://thescipub.com/jcs/jcssp.2026.367.377">doi:10.3844/jcssp.2026.367.377</a></p>This research explores the integration of digital tools for e-governance at local levels in Nepal, with a particular emphasis on the current state of digitalization and the opportunities and challenge...]]></content:encoded>
    <dc:title><![CDATA[e-Governance Practices in Nepal: Opportunities, Challenges, and Strategies from the Local Level]]></dc:title><dc:creator>Reg Bahadur Bhandari</dc:creator><dc:creator>Reg Bahadur Bhandari</dc:creator><dc:creator>Nirav   Bhatta</dc:creator><dc:creator>Gajendra   Sharma</dc:creator><dc:creator>Youba Raj Poudyal</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.367.377</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-02-16; | doi:10.3844/jcssp.2026.367.377</dc:source>
    <dc:date>2026-02-16</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.367.377</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.367.377</prism:url>
    </item></rdf:RDF>