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<title>Volume 21, Issue 10 (2025) | Journal of Computer Science</title>
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    <title><![CDATA[An Integrated Framework to Predict the Strength of New SMILE Using Graph Attention Network]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 25 November 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2220.2228">doi:10.3844/jcssp.2025.2220.2228</a></p>Machine Learning (ML) and Deep Learning (DL) have significantly advanced various fields, including healthcare, finance, autonomous systems, and scientific research. In healthcare, these technologies h...]]></content:encoded>
    <dc:title><![CDATA[An Integrated Framework to Predict the Strength of New SMILE Using Graph Attention Network]]></dc:title><dc:creator>Sandhi Kranthi Reddy</dc:creator><dc:creator>S. V. G. Reddy</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2220.2228</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-11-25; | doi:10.3844/jcssp.2025.2220.2228</dc:source>
    <dc:date>2025-11-25</dc:date>
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    <title><![CDATA[Integrated ARIMA and Multi-Scale GRU for Crop Recommendation and Yield Prediction in Precision Agriculture]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2229.2237</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 26 November 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2229.2237">doi:10.3844/jcssp.2025.2229.2237</a></p>Agriculture is the fundamental source of food, income, and livelihood for rural communities in India. Numerous crops are affected due to the lack of technical decision-making support and variations in...]]></content:encoded>
    <dc:title><![CDATA[Integrated ARIMA and Multi-Scale GRU for Crop Recommendation and Yield Prediction in Precision Agriculture]]></dc:title><dc:creator>Vani Vijay Kumar Ballapuram</dc:creator><dc:creator>Gurupraksh Chirathahalli Dyamanna</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2229.2237</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-11-26; | doi:10.3844/jcssp.2025.2229.2237</dc:source>
    <dc:date>2025-11-26</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
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    <title><![CDATA[Refining Chest X-ray Interpretation with Deep Transfer Learning Techniques]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2238.2255</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 27 November 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2238.2255">doi:10.3844/jcssp.2025.2238.2255</a></p>Chest X-rays are essential diagnostic tools for thoracic diseases, but different doctors' interpretations can differ greatly, which frequently results in inconsistent diagnoses. By using deep transfer...]]></content:encoded>
    <dc:title><![CDATA[Refining Chest X-ray Interpretation with Deep Transfer Learning Techniques]]></dc:title><dc:creator>R.  Sriramkumar</dc:creator><dc:creator>K.  Selvakumar</dc:creator><dc:creator>J.  Jegan</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2238.2255</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-11-27; | doi:10.3844/jcssp.2025.2238.2255</dc:source>
    <dc:date>2025-11-27</dc:date>
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    <prism:doi>10.3844/jcssp.2025.2238.2255</prism:doi>
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    <title><![CDATA[A Comparative Computational Efficiency Analysis of LSB and Hybrid Steganographic Methods]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2256.2264</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 28 November 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2256.2264">doi:10.3844/jcssp.2025.2256.2264</a></p>Electronic Medical Images (EMI) are of various types such as X-rays, CT scans, MRIs, etc. EMIs are generally large, but they vary in dimensions and sizes based on the body part to which they belong. N...]]></content:encoded>
    <dc:title><![CDATA[A Comparative Computational Efficiency Analysis of LSB and Hybrid Steganographic Methods]]></dc:title><dc:creator>Divya  Sharma</dc:creator><dc:creator>Chander  Prabha</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2256.2264</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-11-28; | doi:10.3844/jcssp.2025.2256.2264</dc:source>
    <dc:date>2025-11-28</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2256.2264</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2265.2272">
    <title><![CDATA[Advanced Grasshopper Optimization Scheduling Algorithm (AGOSA) for Multi-Cloud Environments]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2265.2272</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 24 November 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2265.2272">doi:10.3844/jcssp.2025.2265.2272</a></p>The multi-cloud scheduling problem refers to the challenging task of efficiently allocating and managing resources across multiple cloud environments, involving the optimization of task scheduling, re...]]></content:encoded>
    <dc:title><![CDATA[Advanced Grasshopper Optimization Scheduling Algorithm (AGOSA) for Multi-Cloud Environments]]></dc:title><dc:creator>S.  Gowri</dc:creator><dc:creator>A.  Sumathi</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2265.2272</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-11-24; | doi:10.3844/jcssp.2025.2265.2272</dc:source>
    <dc:date>2025-11-24</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2265.2272</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2265.2272</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2273.2291">
    <title><![CDATA[Random Forest and Extreme Gradient Boosting with Bayesian Hyperparameter Optimization for Landslide Susceptibility Mapping in Penang Island, Malaysia]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2273.2291</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 16 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2273.2291">doi:10.3844/jcssp.2025.2273.2291</a></p>Landslide susceptibility models often face challenges of overfitting and overestimation. This research focuses on improving the predictive capabilities of the Extreme Gradient Boosting (XGBoost) and R...]]></content:encoded>
    <dc:title><![CDATA[Random Forest and Extreme Gradient Boosting with Bayesian Hyperparameter Optimization for Landslide Susceptibility Mapping in Penang Island, Malaysia]]></dc:title><dc:creator>Dorothy  Anak Martin  Atok</dc:creator><dc:creator>Soo See Chai</dc:creator><dc:creator>Kok Luong Goh</dc:creator><dc:creator>Neha  Gautam</dc:creator><dc:creator>Kim On Chin</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2273.2291</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-16; | doi:10.3844/jcssp.2025.2273.2291</dc:source>
    <dc:date>2025-12-16</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2273.2291</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2273.2291</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2292.2301">
    <title><![CDATA[FedCarepod: Federated Quantum Transfer Learning Approach in Screening Process for Early Detection of Liver Abnormalities]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2292.2301</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 16 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2292.2301">doi:10.3844/jcssp.2025.2292.2301</a></p>The liver is the most frequently injured intra-abdominal organ that leads to complications. Visual interpretation depends on the expertise, and this justifies the need for automatic accelerated assist...]]></content:encoded>
    <dc:title><![CDATA[FedCarepod: Federated Quantum Transfer Learning Approach in Screening Process for Early Detection of Liver Abnormalities]]></dc:title><dc:creator>K  Mala</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2292.2301</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-16; | doi:10.3844/jcssp.2025.2292.2301</dc:source>
    <dc:date>2025-12-16</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2292.2301</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2302.2311">
    <title><![CDATA[Probe-based Semi-permanent Soil Humidity Sensor]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2302.2311</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 16 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2302.2311">doi:10.3844/jcssp.2025.2302.2311</a></p>The modern agricultural environment has the problems of an aging rural population and a decreasing rural labor population. Recently, smart farms based on information and communication technology have ...]]></content:encoded>
    <dc:title><![CDATA[Probe-based Semi-permanent Soil Humidity Sensor]]></dc:title><dc:creator>Soobin  Jeon</dc:creator><dc:creator>Dongmahn  Seo</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2302.2311</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-16; | doi:10.3844/jcssp.2025.2302.2311</dc:source>
    <dc:date>2025-12-16</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2302.2311</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2312.2322">
    <title><![CDATA[Automated vs. Manual Counting of Bacterial Colonies Using Hough Circle Transform: A Comparative Study for <i>E. coli, S.aureus</i>, and <i>P.aeruginosa</i>]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2312.2322</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 7 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2312.2322">doi:10.3844/jcssp.2025.2312.2322</a></p>Bacterial colony enumeration is an essential stage in microbiological research, allowing susceptibility to antibiotics assessment, monitoring of the environment, and clinical diagnostics. This researc...]]></content:encoded>
    <dc:title><![CDATA[Automated vs. Manual Counting of Bacterial Colonies Using Hough Circle Transform: A Comparative Study for <i>E. coli, S.aureus</i>, and <i>P.aeruginosa</i>]]></dc:title><dc:creator>Areesha  Rehman</dc:creator><dc:creator>Zikria  Saleem</dc:creator><dc:creator>Jarrar  Amjad</dc:creator><dc:creator>Syed Rehan Shah</dc:creator><dc:creator>Kamran  Siddique</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2312.2322</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-07; | doi:10.3844/jcssp.2025.2312.2322</dc:source>
    <dc:date>2025-12-07</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2312.2322</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2323.2336">
    <title><![CDATA[Enhancing E-Banking Security and Personalization through Convolutional Neural Network-Based Facial Recognition]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2323.2336</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 7 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2323.2336">doi:10.3844/jcssp.2025.2323.2336</a></p>Facial recognition technology has become a cornerstone in enhancing the security and user experience of electronic banking services. Its ability to provide a seamless yet secure authentication method ...]]></content:encoded>
    <dc:title><![CDATA[Enhancing E-Banking Security and Personalization through Convolutional Neural Network-Based Facial Recognition]]></dc:title><dc:creator>Ramy Kamal Amin</dc:creator><dc:creator>Ghada  A.  El Khayat</dc:creator><dc:creator>Farid   El Sahn</dc:creator><dc:creator>Abeer  A. Amer</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2323.2336</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-07; | doi:10.3844/jcssp.2025.2323.2336</dc:source>
    <dc:date>2025-12-07</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2323.2336</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2337.2348">
    <title><![CDATA[Assessing the Usability of IoT-Based Smart Farming for Sustainable Organic Agriculture]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2337.2348</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 7 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2337.2348">doi:10.3844/jcssp.2025.2337.2348</a></p>This study evaluates the usability of an IoT-based smart farming system developed to support organic agriculture in Thailand. Many small-scale farmers still spend considerable time manually monitoring...]]></content:encoded>
    <dc:title><![CDATA[Assessing the Usability of IoT-Based Smart Farming for Sustainable Organic Agriculture]]></dc:title><dc:creator>Arisaphat  Suttidee</dc:creator><dc:creator>Pankom  Sriboonlue</dc:creator><dc:creator>Sompoch  Tongnamtiang</dc:creator><dc:creator>Varitha  Lakkham</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2337.2348</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-07; | doi:10.3844/jcssp.2025.2337.2348</dc:source>
    <dc:date>2025-12-07</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2337.2348</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2349.2360">
    <title><![CDATA[Optimized Earthquake Evacuation Routes Using Dijkstra's Algorithm and WinQSB]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2349.2360</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 9 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2349.2360">doi:10.3844/jcssp.2025.2349.2360</a></p>This research analyzes and generates optimal evacuation routes in the Barranco district during earthquake scenarios using the Dijkstra algorithm implemented through WinQSB. A preliminary review was co...]]></content:encoded>
    <dc:title><![CDATA[Optimized Earthquake Evacuation Routes Using Dijkstra's Algorithm and WinQSB]]></dc:title><dc:creator>Sandra Huarcaya Gonzales</dc:creator><dc:creator>Hugo  Vega-Huerta</dc:creator><dc:creator>Gisella  Luisa Elena  Maquen-Niño</dc:creator><dc:creator>Percy   De-la-Cruz-VdV </dc:creator><dc:creator>Santiago Domingo Moquillaza-Henríquez</dc:creator><dc:creator>Oscar   Benito-Pacheco</dc:creator><dc:creator>Javier   Cabrera-Diaz</dc:creator><dc:creator>Juan  Carlos  Lázaro-Guillermo</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2349.2360</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-09; | doi:10.3844/jcssp.2025.2349.2360</dc:source>
    <dc:date>2025-12-09</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2349.2360</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2349.2360</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2361.2387">
    <title><![CDATA[Online ML Streaming-Based Leading Ensemble Classifier for Intrusion Detection in IoT]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2361.2387</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 16 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2361.2387">doi:10.3844/jcssp.2025.2361.2387</a></p>In the present decade, preventing IoT networks from malicious attacks and to ensure the privacy and integrity of data by strengthening their cybersecurity perspective is a critical concern. Traditiona...]]></content:encoded>
    <dc:title><![CDATA[Online ML Streaming-Based Leading Ensemble Classifier for Intrusion Detection in IoT]]></dc:title><dc:creator>Neeraj  Sharma</dc:creator><dc:creator>Neelu  Nihalani</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2361.2387</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-16; | doi:10.3844/jcssp.2025.2361.2387</dc:source>
    <dc:date>2025-12-16</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2361.2387</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2388.2399">
    <title><![CDATA[Real-Time Endoscopic Image Semantic Segmentation for Efficient Polyp Identification]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2388.2399</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 10 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2388.2399">doi:10.3844/jcssp.2025.2388.2399</a></p>The advancement of endoscopic procedures has significantly enhanced diagnostic capabilities in polyp identification and removal, which is critical for colorectal cancer prevention. However, the succes...]]></content:encoded>
    <dc:title><![CDATA[Real-Time Endoscopic Image Semantic Segmentation for Efficient Polyp Identification]]></dc:title><dc:creator>M.  Al-Asli</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2388.2399</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-10; | doi:10.3844/jcssp.2025.2388.2399</dc:source>
    <dc:date>2025-12-10</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2388.2399</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2388.2399</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2400.2411">
    <title><![CDATA[Enhancing Electric Vehicle Charging Demand Prediction Using a Novel SAE-DNN Neural Network Model for Probabilistic Forecasting]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2400.2411</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 11 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2400.2411">doi:10.3844/jcssp.2025.2400.2411</a></p>The rapid growth and widespread adoption of Electric Vehicles (EVs) play a crucial role in the progress of intelligent transportation systems, resulting in a significant decrease in environmentally da...]]></content:encoded>
    <dc:title><![CDATA[Enhancing Electric Vehicle Charging Demand Prediction Using a Novel SAE-DNN Neural Network Model for Probabilistic Forecasting]]></dc:title><dc:creator>Naga  Raju Hari Manikyam</dc:creator><dc:creator>A.   Thangam</dc:creator><dc:creator>J.  Murugachandravel</dc:creator><dc:creator>K.  Vimala</dc:creator><dc:creator>K.  Swanthana</dc:creator><dc:creator>P.  Kanagaraju</dc:creator><dc:creator>V.  Bhoopathy</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2400.2411</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-11; | doi:10.3844/jcssp.2025.2400.2411</dc:source>
    <dc:date>2025-12-11</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2400.2411</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2400.2411</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2412.2422">
    <title><![CDATA[Using Deep Learning to Support Clinical Decision-Making: The Case of Alzheimer’s Disease Diagnosis]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2412.2422</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 11 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2412.2422">doi:10.3844/jcssp.2025.2412.2422</a></p>Alzheimer’s disease is a chronic, progressive brain disorder that leads to a gradual decline in memory and cognitive functions. In this study, N-VGG16, an advanced deep learning model, is proposed. ...]]></content:encoded>
    <dc:title><![CDATA[Using Deep Learning to Support Clinical Decision-Making: The Case of Alzheimer’s Disease Diagnosis]]></dc:title><dc:creator>Nawal  Mohamed Bahy  Eldin</dc:creator><dc:creator>Ghada  A.  El Khayat</dc:creator><dc:creator>Abeer  A.  Amer</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2412.2422</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-11; | doi:10.3844/jcssp.2025.2412.2422</dc:source>
    <dc:date>2025-12-11</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2412.2422</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2412.2422</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2423.2433">
    <title><![CDATA[Enhancing Fleet Management with GPS Data in Port Terminals: A Deep Learning Architecture for Truck Position Prediction]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2423.2433</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 16 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2423.2433">doi:10.3844/jcssp.2025.2423.2433</a></p>Effective truck fleet management in port terminals is crucial for improving operational efficiency and reducing delays. However, GPS-based positioning systems often face limitations in port environmen...]]></content:encoded>
    <dc:title><![CDATA[Enhancing Fleet Management with GPS Data in Port Terminals: A Deep Learning Architecture for Truck Position Prediction]]></dc:title><dc:creator>Mohammed   El Karkraoui</dc:creator><dc:creator>Hicham   Attariuas</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2423.2433</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-16; | doi:10.3844/jcssp.2025.2423.2433</dc:source>
    <dc:date>2025-12-16</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2423.2433</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2423.2433</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2434.2449">
    <title><![CDATA[OptiCNN: Local thresholding segmentation and CNN with SVM Approach for Diabetic Retinopathy Detection and Classification of Fundus Images ]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2434.2449</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 15 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2434.2449">doi:10.3844/jcssp.2025.2434.2449</a></p>Diabetic Retinopathy (DR) is a progressive eye disease that can lead to vision loss and blindness if left untreated. Ophthalmologists diagnose DR using medical imaging modalities such as fundus photog...]]></content:encoded>
    <dc:title><![CDATA[OptiCNN: Local thresholding segmentation and CNN with SVM Approach for Diabetic Retinopathy Detection and Classification of Fundus Images ]]></dc:title><dc:creator>Anju  Mishra</dc:creator><dc:creator>Mrinal  Pandey</dc:creator><dc:creator>Laxman  Singh</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2434.2449</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-15; | doi:10.3844/jcssp.2025.2434.2449</dc:source>
    <dc:date>2025-12-15</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2434.2449</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2434.2449</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2450.2468">
    <title><![CDATA[Deep Sense: Deep Learning for Early Staging the Onset of Diabetes Emanating Recognition of Activity Patterns]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2450.2468</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 15 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2450.2468">doi:10.3844/jcssp.2025.2450.2468</a></p>This study presents a comprehensive framework for Human Activity Recognition (HAR) using smartphone sensor data, with a specific focus on identifying activities associated with diabetic risk factors. ...]]></content:encoded>
    <dc:title><![CDATA[Deep Sense: Deep Learning for Early Staging the Onset of Diabetes Emanating Recognition of Activity Patterns]]></dc:title><dc:creator>Mohammed Shamsul Alam</dc:creator><dc:creator>Erfanul  Hoque  Bahadur</dc:creator><dc:creator>Md  Fokrul  Islam Khan</dc:creator><dc:creator>Farhad Uddin  Mahmud</dc:creator><dc:creator>Md Ismail  Hossain  Siddiqui</dc:creator><dc:creator>Abdul Kadar  Muhammad  Masum</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2450.2468</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-15; | doi:10.3844/jcssp.2025.2450.2468</dc:source>
    <dc:date>2025-12-15</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2450.2468</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2450.2468</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2469.2481">
    <title><![CDATA[Evaluating Barriers to the Adoption of Augmented Reality-based Applications in Education System: DEMATEL Approach]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2469.2481</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 17 December 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2469.2481">doi:10.3844/jcssp.2025.2469.2481</a></p>Augmented Reality (AR) is an emerging technology that enhances user perception by overlaying virtual information onto the physical world. In educational contexts, AR integration has demonstrated poten...]]></content:encoded>
    <dc:title><![CDATA[Evaluating Barriers to the Adoption of Augmented Reality-based Applications in Education System: DEMATEL Approach]]></dc:title><dc:creator>Monika  Nijhawan</dc:creator><dc:creator>Nidhi  Sindhwani</dc:creator><dc:creator>Sarvesh   Tanwar</dc:creator><dc:creator>Shishir   Kumar</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2469.2481</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-12-17; | doi:10.3844/jcssp.2025.2469.2481</dc:source>
    <dc:date>2025-12-17</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2469.2481</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2469.2481</prism:url>
    </item></rdf:RDF>