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<title>Volume 22, Issue 9 (2026) | Journal of Computer Science</title>
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    <title><![CDATA[AI-Driven Visual Communication Strategies for Enhancing Engagement in Smart Hospitality Platforms]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2682.2691</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 7 September 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2682.2691">doi:10.3844/jcssp.2026.2682.2691</a></p>The rapid evolution of Smart Hospitality has reshaped how tourists interact with service providers. Visual communication plays a pivotal role in influencing engagement, yet most digital content remain...]]></content:encoded>
    <dc:title><![CDATA[AI-Driven Visual Communication Strategies for Enhancing Engagement in Smart Hospitality Platforms]]></dc:title><dc:creator>Yudhiet Fajar Dewantara</dc:creator><dc:creator>Yana   Erlyana</dc:creator><dc:creator>Yana   Erlyana</dc:creator><dc:creator>Lim Jing Yi</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2682.2691</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-09-07; | doi:10.3844/jcssp.2026.2682.2691</dc:source>
    <dc:date>2026-09-07</dc:date>
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    <prism:doi>10.3844/jcssp.2026.2682.2691</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2692.2699">
    <title><![CDATA[Deep Learning Analysis of Drug Reviews: Identifying Patient Conditions, Predicting Drug Ratings, and Sentiment Analysis]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2692.2699</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 7 September 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2692.2699">doi:10.3844/jcssp.2026.2692.2699</a></p>Understanding patients' experiences with medications is essential for improving drug effectiveness, detecting potential side effects, and enhancing overall patient satisfaction. This research investig...]]></content:encoded>
    <dc:title><![CDATA[Deep Learning Analysis of Drug Reviews: Identifying Patient Conditions, Predicting Drug Ratings, and Sentiment Analysis]]></dc:title><dc:creator>Rafat   Hammad</dc:creator><dc:creator>Mohammad Ashraf Ottom</dc:creator><dc:creator>Ayah Bani Baker</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2692.2699</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-09-07; | doi:10.3844/jcssp.2026.2692.2699</dc:source>
    <dc:date>2026-09-07</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2692.2699</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2700.2710">
    <title><![CDATA[HMA-RAG: A Hierarchical Memory Augmented Retrieval Augmented Generation Framework for Fake News Detection]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2700.2710</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 7 September 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2700.2710">doi:10.3844/jcssp.2026.2700.2710</a></p>Existing methods for detecting fake news, such as traditional machine learning and transformer-based models, often work as separate classifiers that do not use outside evidence, historical knowledge, ...]]></content:encoded>
    <dc:title><![CDATA[HMA-RAG: A Hierarchical Memory Augmented Retrieval Augmented Generation Framework for Fake News Detection]]></dc:title><dc:creator>Afnan   Altarjami</dc:creator><dc:creator>Sawsan   Alshattnawi</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2700.2710</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-09-07; | doi:10.3844/jcssp.2026.2700.2710</dc:source>
    <dc:date>2026-09-07</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2700.2710</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2711.2722">
    <title><![CDATA[An Active Learning Ensemble Framework for Tropical Crop Yield Prediction]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2711.2722</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 11 September 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2711.2722">doi:10.3844/jcssp.2026.2711.2722</a></p>Agriculture always has great importance among all different sectors, not only in the world but also in India. It has a significant impact on food security and largely controls the economy. At present,...]]></content:encoded>
    <dc:title><![CDATA[An Active Learning Ensemble Framework for Tropical Crop Yield Prediction]]></dc:title><dc:creator>Amol   Bhilare</dc:creator><dc:creator>Debabrata   Swain</dc:creator><dc:creator>Megh   Patel</dc:creator><dc:creator>Sashikala   Mishra</dc:creator><dc:creator>Nitesh  Kumar</dc:creator><dc:creator>Manish   Kumar</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2711.2722</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-09-11; | doi:10.3844/jcssp.2026.2711.2722</dc:source>
    <dc:date>2026-09-11</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2711.2722</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.2711.2722</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2723.2735">
    <title><![CDATA[Dynamic Weighting Technique Based Arctic Puffin Optimization for Energy Efficient Data Transmission in Wireless Sensor Networks]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2723.2735</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 10 September 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2723.2735">doi:10.3844/jcssp.2026.2723.2735</a></p>Wireless Sensor Networks (WSNs) are designed using various sensor nodes, which are employed for communication in diverse applications that include healthcare, industrial areas, and smart cities. Speci...]]></content:encoded>
    <dc:title><![CDATA[Dynamic Weighting Technique Based Arctic Puffin Optimization for Energy Efficient Data Transmission in Wireless Sensor Networks]]></dc:title><dc:creator>M. Bharathraj  Kumar</dc:creator><dc:creator>S.   Avinash</dc:creator><dc:creator>Prakash G. Gani</dc:creator><dc:creator>Prathapchandra   Shetty</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2723.2735</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-09-10; | doi:10.3844/jcssp.2026.2723.2735</dc:source>
    <dc:date>2026-09-10</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2723.2735</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.2723.2735</prism:url>
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    <title><![CDATA[An Edge Efficient and Lightweight Hybrid CNN Vision Transformer Network With CBAM for IoT Based Plant Disease Detection]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2736.2754</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 20 September 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2736.2754">doi:10.3844/jcssp.2026.2736.2754</a></p>Detecting crop disease early enough to act on it remains a bottleneck for smallholder and precision farming alike, particularly when diagnosis depends on manual inspection or lab analysis that cannot ...]]></content:encoded>
    <dc:title><![CDATA[An Edge Efficient and Lightweight Hybrid CNN Vision Transformer Network With CBAM for IoT Based Plant Disease Detection]]></dc:title><dc:creator>Nyabeye Pangop Doris-Khöler</dc:creator><dc:creator>Kengni Ngangmo Olga</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2736.2754</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-09-20; | doi:10.3844/jcssp.2026.2736.2754</dc:source>
    <dc:date>2026-09-20</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2736.2754</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.2736.2754</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2755.2768">
    <title><![CDATA[Evaluation of Language Models (LLMs) in the Interpretation of Tuberculosis Concepts: Design of a Virtual Assistant for Clinical Support and Patient Education]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2755.2768</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 September 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2755.2768">doi:10.3844/jcssp.2026.2755.2768</a></p>Tuberculosis (TB) remains a global public health challenge, where access to accurate and up-to-date information is crucial for professionals and patients. This research comparatively evaluated the per...]]></content:encoded>
    <dc:title><![CDATA[Evaluation of Language Models (LLMs) in the Interpretation of Tuberculosis Concepts: Design of a Virtual Assistant for Clinical Support and Patient Education]]></dc:title><dc:creator>Mauricio   Acevedo-Carrillo</dc:creator><dc:creator>Shirley Fiorella Simbron Espejo</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2755.2768</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-09-30; | doi:10.3844/jcssp.2026.2755.2768</dc:source>
    <dc:date>2026-09-30</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2755.2768</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.2755.2768</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2769.2782">
    <title><![CDATA[Hybrid Enhanced Neighbourhood and Latent Factor Model for Cold-Start Recommendations]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2769.2782</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 21 September 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2769.2782">doi:10.3844/jcssp.2026.2769.2782</a></p>Among different recommendation strategies, collaborative filtering remains a commonly utilized method for generating personalized suggestions. The traditional collaborative algorithms face performance...]]></content:encoded>
    <dc:title><![CDATA[Hybrid Enhanced Neighbourhood and Latent Factor Model for Cold-Start Recommendations]]></dc:title><dc:creator>Amritha   P</dc:creator><dc:creator>Rajkumar   KK</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2769.2782</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-09-21; | doi:10.3844/jcssp.2026.2769.2782</dc:source>
    <dc:date>2026-09-21</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2769.2782</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.2769.2782</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2783.2801">
    <title><![CDATA[UMPM-Net: A Multimodal Deep Learning Framework for Colorectal Cancer Prognosis]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2783.2801</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 20 September 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2783.2801">doi:10.3844/jcssp.2026.2783.2801</a></p>Colorectal cancer (CRC) is one of the most common cancers worldwide, for which early prediction of patient outcomes is important for personalised treatment planning and to improve survival. However, c...]]></content:encoded>
    <dc:title><![CDATA[UMPM-Net: A Multimodal Deep Learning Framework for Colorectal Cancer Prognosis]]></dc:title><dc:creator>K.   Muthuchamy</dc:creator><dc:creator>S K. Piramu Preethika</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2783.2801</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-09-20; | doi:10.3844/jcssp.2026.2783.2801</dc:source>
    <dc:date>2026-09-20</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2783.2801</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.2783.2801</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2802.2813">
    <title><![CDATA[BERT-Based Temporal Sentiment Analysis of Saudi Tourism Events]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2802.2813</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 19 September 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2802.2813">doi:10.3844/jcssp.2026.2802.2813</a></p>This study applies a BERT-based temporal sentiment analysis framework to examine English-language social media discourse surrounding major tourism and sporting events hosted in Saudi Arabia. A dataset...]]></content:encoded>
    <dc:title><![CDATA[BERT-Based Temporal Sentiment Analysis of Saudi Tourism Events]]></dc:title><dc:creator>Ahmed   Alharbi</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2802.2813</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-09-19; | doi:10.3844/jcssp.2026.2802.2813</dc:source>
    <dc:date>2026-09-19</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2802.2813</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.2802.2813</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2814.2820">
    <title><![CDATA[A Machine Learning Framework for Strategic Gameplay Optimization in Scrabble Using Reinforcement Learning]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2814.2820</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 22 September 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2814.2820">doi:10.3844/jcssp.2026.2814.2820</a></p>This paper explores and compare various artificial intelligence-based techniques used for playing classic board game Scrabble. As the world is evolving around finding quick and efficient techniques fo...]]></content:encoded>
    <dc:title><![CDATA[A Machine Learning Framework for Strategic Gameplay Optimization in Scrabble Using Reinforcement Learning]]></dc:title><dc:creator>Mohd   Kaleem</dc:creator><dc:creator>Kanta Prasad Sharma</dc:creator><dc:creator>Tapsi   Nagpal</dc:creator><dc:creator>Umakant   Ahirwar</dc:creator><dc:creator>Girish   Paliwal</dc:creator><dc:creator>Vijay Mohan Shrimal</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2814.2820</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-09-22; | doi:10.3844/jcssp.2026.2814.2820</dc:source>
    <dc:date>2026-09-22</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2814.2820</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.2814.2820</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2821.2833">
    <title><![CDATA[Analysis Quantum Implementation of Double AES Cryptography for Secure QR Code Generation]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2821.2833</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 20 September 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2821.2833">doi:10.3844/jcssp.2026.2821.2833</a></p>Data security faces unprecedented challenges due to the rapid advancement of quantum computing technologies, which threaten to compromise foundational classical cryptographic algorithms. This study in...]]></content:encoded>
    <dc:title><![CDATA[Analysis Quantum Implementation of Double AES Cryptography for Secure QR Code Generation]]></dc:title><dc:creator>Jimmy   Wijaya</dc:creator><dc:creator>  Rojali</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2821.2833</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-09-20; | doi:10.3844/jcssp.2026.2821.2833</dc:source>
    <dc:date>2026-09-20</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2821.2833</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.2821.2833</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2834.2849">
    <title><![CDATA[The Impact of Design and Security on Generation Z’s Continuance Intention in the AI-Enhanced Metaverse]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2834.2849</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 21 September 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2834.2849">doi:10.3844/jcssp.2026.2834.2849</a></p>Artificial Intelligence (AI) and the Metaverse are the source of quick and extensive changes in the virtual world. Unfortunately, such a point is rarely discussed in the academic community and the rea...]]></content:encoded>
    <dc:title><![CDATA[The Impact of Design and Security on Generation Z’s Continuance Intention in the AI-Enhanced Metaverse]]></dc:title><dc:creator>Shailja   Tripathi</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2834.2849</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-09-21; | doi:10.3844/jcssp.2026.2834.2849</dc:source>
    <dc:date>2026-09-21</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2834.2849</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2850.2859">
    <title><![CDATA[Optimized Movie Recommendation Using Hybrid Jaccard-Based K-Means Clustering Using Apache Spark]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2850.2859</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 23 September 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2850.2859">doi:10.3844/jcssp.2026.2850.2859</a></p>The need for recommendations specific to each person's interests is growing every day, making recommendation systems increasingly important in people's lives. Researchers have paid close attention to ...]]></content:encoded>
    <dc:title><![CDATA[Optimized Movie Recommendation Using Hybrid Jaccard-Based K-Means Clustering Using Apache Spark]]></dc:title><dc:creator>Shiba Prasad Dash</dc:creator><dc:creator>Rajesh Kumar Sahoo</dc:creator><dc:creator>Ram Chandra Barik</dc:creator><dc:creator>Lipsa Priyadarshini Singh</dc:creator><dc:creator>Debashreet   Das</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2850.2859</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-09-23; | doi:10.3844/jcssp.2026.2850.2859</dc:source>
    <dc:date>2026-09-23</dc:date>
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    <prism:doi>10.3844/jcssp.2026.2850.2859</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.2850.2859</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2860.2878">
    <title><![CDATA[Multi-FOM: A Unified Multimodal Deep Learning Framework for Intelligent Pre-Harvest Papaya Classification and Crop Valorisation]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2860.2878</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 24 September 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2860.2878">doi:10.3844/jcssp.2026.2860.2878</a></p>Intelligent pre-harvest crop assessment has become an essential component of precision agriculture, where accurate crop quality evaluation enables informed decision-making and sustainable crop managem...]]></content:encoded>
    <dc:title><![CDATA[Multi-FOM: A Unified Multimodal Deep Learning Framework for Intelligent Pre-Harvest Papaya Classification and Crop Valorisation]]></dc:title><dc:creator>Sovers Singh Bisht</dc:creator><dc:creator>Sanjeev   Thakur</dc:creator><dc:creator>Sanjeev   Panwar</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2860.2878</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-09-24; | doi:10.3844/jcssp.2026.2860.2878</dc:source>
    <dc:date>2026-09-24</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2860.2878</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.2860.2878</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2879.2890">
    <title><![CDATA[Dual-Branch Shape Texture Learning With Pyramid Residual and Sobel Edge Layers for Rice Variety Classification]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2879.2890</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 24 September 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2879.2890">doi:10.3844/jcssp.2026.2879.2890</a></p>Automated rice variety classification categorizes rice types based on features, such as grain texture, shape, color, and size. Traditional handcrafted feature-based models fail at rice classification ...]]></content:encoded>
    <dc:title><![CDATA[Dual-Branch Shape Texture Learning With Pyramid Residual and Sobel Edge Layers for Rice Variety Classification]]></dc:title><dc:creator>M   Pradeep</dc:creator><dc:creator>M   Siddappa</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2879.2890</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-09-24; | doi:10.3844/jcssp.2026.2879.2890</dc:source>
    <dc:date>2026-09-24</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2879.2890</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.2879.2890</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2891.2905">
    <title><![CDATA[Brain Tumor Segmentation and Classification Using HardNet Transformer With Gated Recurrent Unit Model]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2891.2905</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 26 September 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2891.2905">doi:10.3844/jcssp.2026.2891.2905</a></p>The uncontrolled growth of brain tumor cells presents a severe health risk, making early diagnosis and accurate classification essential for improving treatment outcomes. However, the existing approac...]]></content:encoded>
    <dc:title><![CDATA[Brain Tumor Segmentation and Classification Using HardNet Transformer With Gated Recurrent Unit Model]]></dc:title><dc:creator>Saida   D</dc:creator><dc:creator>Srinivas   Adepu</dc:creator><dc:creator>Thade Lakshmi Devi</dc:creator><dc:creator>Nenavath   Chander</dc:creator><dc:creator>Madhu   Bhukya</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2891.2905</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-09-26; | doi:10.3844/jcssp.2026.2891.2905</dc:source>
    <dc:date>2026-09-26</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2891.2905</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.2891.2905</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2906.2921">
    <title><![CDATA[TAGN-IDC: Implicit Discrete Constraints for Tsunami Aware Graph Neural Networks in Spatial Evacuation Routing]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2906.2921</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 24 September 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2906.2921">doi:10.3844/jcssp.2026.2906.2921</a></p>Tsunami evacuation route requires rapid identification of safe evacuation paths under dynamically changing hazard conditions. A major challenge is incorporating hard binary road-blockage constraints c...]]></content:encoded>
    <dc:title><![CDATA[TAGN-IDC: Implicit Discrete Constraints for Tsunami Aware Graph Neural Networks in Spatial Evacuation Routing]]></dc:title><dc:creator>    Sularno</dc:creator><dc:creator>Wendi   Boy</dc:creator><dc:creator>Putri   Anggraini</dc:creator><dc:creator>Rometdo   Muzawi</dc:creator><dc:creator>Dio Prima Mulya</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2906.2921</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-09-24; | doi:10.3844/jcssp.2026.2906.2921</dc:source>
    <dc:date>2026-09-24</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2906.2921</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.2906.2921</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2922.2943">
    <title><![CDATA[Dynamic Knowledge Driven Multi-Scale Spatiotemporal Fusion Framework for Reliable Multi-Horizon Traffic Flow Forecasting]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2922.2943</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 30 September 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2922.2943">doi:10.3844/jcssp.2026.2922.2943</a></p>Accurate traffic flow forecasting remains a core challenge in intelligent transportation systems. Urban traffic patterns are characterised by complex spatiotemporal dependencies and inherent uncertain...]]></content:encoded>
    <dc:title><![CDATA[Dynamic Knowledge Driven Multi-Scale Spatiotemporal Fusion Framework for Reliable Multi-Horizon Traffic Flow Forecasting]]></dc:title><dc:creator>Deepika   M S</dc:creator><dc:creator>P. Deepa Shenoy</dc:creator><dc:creator>Venugopal   K R</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2922.2943</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-09-30; | doi:10.3844/jcssp.2026.2922.2943</dc:source>
    <dc:date>2026-09-30</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2922.2943</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.2922.2943</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2944.2952">
    <title><![CDATA[A Comprehensive Review of Post-Quantum Cryptography Algorithms]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2944.2952</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 25 September 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2944.2952">doi:10.3844/jcssp.2026.2944.2952</a></p>The development of quantum computing has been rapid, and an existential threat to computational hardness assumptions that underlie today's public-key cryptography has been encountered. This manuscript...]]></content:encoded>
    <dc:title><![CDATA[A Comprehensive Review of Post-Quantum Cryptography Algorithms]]></dc:title><dc:creator>Samandeep   Kaur</dc:creator><dc:creator>Jaswinder   Singh</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2944.2952</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-09-25; | doi:10.3844/jcssp.2026.2944.2952</dc:source>
    <dc:date>2026-09-25</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2944.2952</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.2944.2952</prism:url>
    </item></rdf:RDF>