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<title>Volume 22, Issue 7 (2026) | Journal of Computer Science</title>
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    <title><![CDATA[Leveraging Artificial Intelligence and Other 4IR Technologies for Driving Education 4.0 in South Africa: A Scoping Study]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2066.2081</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 9 July 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2066.2081">doi:10.3844/jcssp.2026.2066.2081</a></p>The advent of the fourth Industrial Revolution (4IR) has impacted human life across many disciplines including healthcare, agriculture, telecommunication, manufacturing, education etc. It is character...]]></content:encoded>
    <dc:title><![CDATA[Leveraging Artificial Intelligence and Other 4IR Technologies for Driving Education 4.0 in South Africa: A Scoping Study]]></dc:title><dc:creator>Emmanuel   Adetiba</dc:creator><dc:creator>Emmanuel   Adetiba</dc:creator><dc:creator>Emmanuel   Adetiba</dc:creator><dc:creator>Surendra   Thakur</dc:creator><dc:creator>Abdultaofeek   Abayomi</dc:creator><dc:creator>Abdultaofeek   Abayomi</dc:creator><dc:creator>Wellington B. Zondi</dc:creator><dc:creator>Yaseen   Khan</dc:creator><dc:creator>Rasmi   Singh</dc:creator><dc:creator>Mogandren   Govender</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2066.2081</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-07-09; | doi:10.3844/jcssp.2026.2066.2081</dc:source>
    <dc:date>2026-07-09</dc:date>
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    <title><![CDATA[An AI-Assisted Research Automation System for Scholarly Paper Retrieval and Review With Workflow Orchestration]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2082.2091</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 6 July 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2082.2091">doi:10.3844/jcssp.2026.2082.2091</a></p>The rapid growth of scholarly publications has increased the complexity of conducting rigorous and reproducible literature reviews, while traditional manual review processes are increasingly constrain...]]></content:encoded>
    <dc:title><![CDATA[An AI-Assisted Research Automation System for Scholarly Paper Retrieval and Review With Workflow Orchestration]]></dc:title><dc:creator>Sompoch   Tongnamtiang</dc:creator><dc:creator>Manirath   Wongsim</dc:creator><dc:creator>Natarpha   Satchawatee</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2082.2091</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-07-06; | doi:10.3844/jcssp.2026.2082.2091</dc:source>
    <dc:date>2026-07-06</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2082.2091</prism:doi>
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    <title><![CDATA[Masterpiece Optimization Algorithm-Based Priority-Aware Load Balancing Strategy for Cloud Data Centers]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2092.2103</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 July 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2092.2103">doi:10.3844/jcssp.2026.2092.2103</a></p>Cloud Computing (CC) is one of the widely used technologies due to its advanced features such as pay-per-use, scalability, and flexibility. The primary objective of CC is to allow users to access and ...]]></content:encoded>
    <dc:title><![CDATA[Masterpiece Optimization Algorithm-Based Priority-Aware Load Balancing Strategy for Cloud Data Centers]]></dc:title><dc:creator>S   Vijaykumar</dc:creator><dc:creator>Shanker   Chandre</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2092.2103</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-07-30; | doi:10.3844/jcssp.2026.2092.2103</dc:source>
    <dc:date>2026-07-30</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2092.2103</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2104.2117">
    <title><![CDATA[Adaptive Cross-Validation Under Concept Drift for Time Series Forecasting]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2104.2117</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 7 July 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2104.2117">doi:10.3844/jcssp.2026.2104.2117</a></p>Time-series forecasting often involves non-stationary data, making i.i.d. validation unreliable and fixed-window protocols vulnerable to leakage and biased error estimates. We propose Adaptive Time-Se...]]></content:encoded>
    <dc:title><![CDATA[Adaptive Cross-Validation Under Concept Drift for Time Series Forecasting]]></dc:title><dc:creator>Kunjira   Kingphai</dc:creator><dc:creator>Prapakorn   Kanjina</dc:creator><dc:creator>Kamol   Sanittham</dc:creator><dc:creator>Wacharong   Wongsanurak</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2104.2117</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-07-07; | doi:10.3844/jcssp.2026.2104.2117</dc:source>
    <dc:date>2026-07-07</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2104.2117</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2118.2129">
    <title><![CDATA[A Novel Fault-Tolerant Majority Gate Architecture for Robust Operation in QCA-Based Nano Circuits]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2118.2129</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 7 July 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2118.2129">doi:10.3844/jcssp.2026.2118.2129</a></p>Quantum Dot Cellular Automata (QCA) is one of the promising alternatives to the traditional CMOS technologies for next-generation nanocomputing, which can be integrated at a higher density and has a h...]]></content:encoded>
    <dc:title><![CDATA[A Novel Fault-Tolerant Majority Gate Architecture for Robust Operation in QCA-Based Nano Circuits]]></dc:title><dc:creator>Ami   Patel</dc:creator><dc:creator>Vrushank   Shah</dc:creator><dc:creator>Dipti   Khurge</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2118.2129</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-07-07; | doi:10.3844/jcssp.2026.2118.2129</dc:source>
    <dc:date>2026-07-07</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2118.2129</prism:doi>
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    <title><![CDATA[Anxiety-Focused Classification Using Smartphone-Based Gait Analysis and Deep Learning Models]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2130.2138</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 16 July 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2130.2138">doi:10.3844/jcssp.2026.2130.2138</a></p>Mood disorders, such as anxiety, significantly impact individual well-being and present challenges to healthcare systems globally. Traditional screening methods, including self-administered symptom qu...]]></content:encoded>
    <dc:title><![CDATA[Anxiety-Focused Classification Using Smartphone-Based Gait Analysis and Deep Learning Models]]></dc:title><dc:creator>Minchan   Kang</dc:creator><dc:creator>Gou-Sung   Degbey</dc:creator><dc:creator>Hyunhwa   Lee</dc:creator><dc:creator>Jonghyuk   Kim</dc:creator><dc:creator>Sungchul   Lee</dc:creator><dc:creator>Hoon   Ko</dc:creator><dc:creator>Jinyoung   Park</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2130.2138</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-07-16; | doi:10.3844/jcssp.2026.2130.2138</dc:source>
    <dc:date>2026-07-16</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2130.2138</prism:doi>
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    <title><![CDATA[Anchoring Public Health Forecasts: High-Precision Obesity Prevalence Estimation Via Hybrid Geodemographic Ensemble Regression]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2139.2155</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 31 July 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2139.2155">doi:10.3844/jcssp.2026.2139.2155</a></p>Obesity remains a major driver of chronic disease and rising healthcare costs in the United States. Yet, most existing predictive models rely on single-model classifiers and rarely incorporate spatial...]]></content:encoded>
    <dc:title><![CDATA[Anchoring Public Health Forecasts: High-Precision Obesity Prevalence Estimation Via Hybrid Geodemographic Ensemble Regression]]></dc:title><dc:creator>Trenton   Ward</dc:creator><dc:creator>Isaac   Osunmakinde</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2139.2155</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-07-31; | doi:10.3844/jcssp.2026.2139.2155</dc:source>
    <dc:date>2026-07-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2139.2155</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2156.2188">
    <title><![CDATA[Ensemble Learning for Proactive Detection of Network-Intrusion-Based Insurance Fraud]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2156.2188</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 16 July 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2156.2188">doi:10.3844/jcssp.2026.2156.2188</a></p>We propose an ensemble learning pipeline that proactively integrates Stacking Feature Embedding (SFE) with Principal Component Analysis (PCA) and tree-based ensembles to proactively detect insurance f...]]></content:encoded>
    <dc:title><![CDATA[Ensemble Learning for Proactive Detection of Network-Intrusion-Based Insurance Fraud]]></dc:title><dc:creator>Benjamin Asubam Weyori</dc:creator><dc:creator>Selorm Kofi Tagbo</dc:creator><dc:creator>Selorm Kofi Tagbo</dc:creator><dc:creator>Abubakar Sadik Yakubu</dc:creator><dc:creator>Kenneth Kojo Bonsu</dc:creator><dc:creator>Moesha   Noah</dc:creator><dc:creator>Eric Wiafe Appah</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2156.2188</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-07-16; | doi:10.3844/jcssp.2026.2156.2188</dc:source>
    <dc:date>2026-07-16</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2156.2188</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2189.2203">
    <title><![CDATA[FuzzyNET: A Fuzzy Logic-Based Framework for Enhancing Urban Efficiency in Smart Cities]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2189.2203</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 19 July 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2189.2203">doi:10.3844/jcssp.2026.2189.2203</a></p>The smart city paradigm emphasizes the strategic use of IoT, Big Data, and digital technologies to optimize urban operations and improve service delivery for citizens. Embedding digital technologies w...]]></content:encoded>
    <dc:title><![CDATA[FuzzyNET: A Fuzzy Logic-Based Framework for Enhancing Urban Efficiency in Smart Cities]]></dc:title><dc:creator>Hemant   Kumar</dc:creator><dc:creator>Safdar   Tanweer</dc:creator><dc:creator>Parul   Agarwal</dc:creator><dc:creator>Naseem   Rao</dc:creator><dc:creator>Jawed   Ahmed</dc:creator><dc:creator>Syed Sibtain Khalid</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2189.2203</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-07-19; | doi:10.3844/jcssp.2026.2189.2203</dc:source>
    <dc:date>2026-07-19</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2189.2203</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2204.2219">
    <title><![CDATA[Design and Evaluation of a Blockchain-Integrated Secure Cloud Storage System]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2204.2219</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 22 July 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2204.2219">doi:10.3844/jcssp.2026.2204.2219</a></p>Cloud storage is a critical part of modern computer systems that has a centralized structure, which opens sensitive data to security risks, including unauthorized access, insider threats, and data tam...]]></content:encoded>
    <dc:title><![CDATA[Design and Evaluation of a Blockchain-Integrated Secure Cloud Storage System]]></dc:title><dc:creator>Walde Rajesh Baliram</dc:creator><dc:creator>Bashir   Alam</dc:creator><dc:creator>M. N. Doja</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2204.2219</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-07-22; | doi:10.3844/jcssp.2026.2204.2219</dc:source>
    <dc:date>2026-07-22</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2204.2219</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2220.2235">
    <title><![CDATA[EW-GAT: Edge-Weighted Graph Attention Framework for Patient-Aware Heart Disease Classification Using Feature-to-Feature Similarity Graphs]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2220.2235</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 25 July 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2220.2235">doi:10.3844/jcssp.2026.2220.2235</a></p>Heart disease remains an important cause of global death, requiring accurate and clinically interpretable prediction models. However, traditional Machine Learning (ML) methods often fail to capture me...]]></content:encoded>
    <dc:title><![CDATA[EW-GAT: Edge-Weighted Graph Attention Framework for Patient-Aware Heart Disease Classification Using Feature-to-Feature Similarity Graphs]]></dc:title><dc:creator>Ramakrishna Reddy Badveli</dc:creator><dc:creator>Nijaguna Gollara Siddappa</dc:creator><dc:creator>Sundeep Kumar Kanipakapatnam</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2220.2235</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-07-25; | doi:10.3844/jcssp.2026.2220.2235</dc:source>
    <dc:date>2026-07-25</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2220.2235</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2236.2253">
    <title><![CDATA[Enhanced Lifetime Maximization Using Metaheuristics-Based Unequal Clustering With Routing Protocol on Wireless Sensor Networks]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2236.2253</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 21 July 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2236.2253">doi:10.3844/jcssp.2026.2236.2253</a></p>The Wireless Sensor Network (WSN) consists of spatially distributed autonomous sensors that monitor environmental or physical factors such as sound, pressure, or temperature, and pass the information ...]]></content:encoded>
    <dc:title><![CDATA[Enhanced Lifetime Maximization Using Metaheuristics-Based Unequal Clustering With Routing Protocol on Wireless Sensor Networks]]></dc:title><dc:creator>N. E. Kanaghadhara</dc:creator><dc:creator>R.   Suban</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2236.2253</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-07-21; | doi:10.3844/jcssp.2026.2236.2253</dc:source>
    <dc:date>2026-07-21</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2236.2253</prism:doi>
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    <title><![CDATA[Active Reset and Scheduling in Fault-Tolerant Quantum-Classical Cloud Computing]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2254.2265</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 1 September 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2254.2265">doi:10.3844/jcssp.2026.2254.2265</a></p>Quantum-classical cloud computing refers to a hybrid computing model that integrates quantum computing with classical computing resources, typically hosted on the cloud. The objective of this paper is...]]></content:encoded>
    <dc:title><![CDATA[Active Reset and Scheduling in Fault-Tolerant Quantum-Classical Cloud Computing]]></dc:title><dc:creator>Mohamed   El-Dosuky</dc:creator><dc:creator>Mohamed   El-Dosuky</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2254.2265</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-09-01; | doi:10.3844/jcssp.2026.2254.2265</dc:source>
    <dc:date>2026-09-01</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2254.2265</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2266.2273">
    <title><![CDATA[Autoencoder-Based Intrusion Detection for ARP Poisoning in SDN Controllers]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2266.2273</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 21 July 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2266.2273">doi:10.3844/jcssp.2026.2266.2273</a></p>Address Resolution Protocol (ARP) poisoning is still a critical control plane attack in Software Defined Networks (SDNs), and spoofing of ARP mappings can trick SDNs controller and accomplish man in t...]]></content:encoded>
    <dc:title><![CDATA[Autoencoder-Based Intrusion Detection for ARP Poisoning in SDN Controllers]]></dc:title><dc:creator>Kago   Seemela</dc:creator><dc:creator>Banyatsang   Mphago</dc:creator><dc:creator>Thabo   Semong</dc:creator><dc:creator>Phephisa   Methula</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2266.2273</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-07-21; | doi:10.3844/jcssp.2026.2266.2273</dc:source>
    <dc:date>2026-07-21</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2266.2273</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.2266.2273</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2274.2290">
    <title><![CDATA[An Explainable AI (XAI) Framework for Intrusion Detection and Identification to Secure IoT Networks]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2274.2290</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 23 July 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2274.2290">doi:10.3844/jcssp.2026.2274.2290</a></p>The Internet of Things (IoT) encompasses a wide range of applications from wearable devices to smart homes, as well as industrial automation and smart cities. As IoT networks and devices continue to g...]]></content:encoded>
    <dc:title><![CDATA[An Explainable AI (XAI) Framework for Intrusion Detection and Identification to Secure IoT Networks]]></dc:title><dc:creator>Vibhor   Harit</dc:creator><dc:creator>Rajeev   Dahiya</dc:creator><dc:creator>Umang   Garg</dc:creator><dc:creator>Anil   Kumar</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2274.2290</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-07-23; | doi:10.3844/jcssp.2026.2274.2290</dc:source>
    <dc:date>2026-07-23</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2274.2290</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.2274.2290</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2291.2311">
    <title><![CDATA[Forecasting Corporate Financial Distress Using Explainable Machine Learning: Implications for Risk Management Technology]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2291.2311</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 22 July 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2291.2311">doi:10.3844/jcssp.2026.2291.2311</a></p>Financial distress prediction is a critical task in financial risk management, yet it remains challenging due to class imbalance, complex financial structures, and limited model interpretability. This...]]></content:encoded>
    <dc:title><![CDATA[Forecasting Corporate Financial Distress Using Explainable Machine Learning: Implications for Risk Management Technology]]></dc:title><dc:creator>Kanjana   Hinthaw</dc:creator><dc:creator>Warawut   Narkbunnum</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2291.2311</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-07-22; | doi:10.3844/jcssp.2026.2291.2311</dc:source>
    <dc:date>2026-07-22</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2291.2311</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.2291.2311</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2312.2323">
    <title><![CDATA[Mitigation Strategies for Select Kubelet CVEs: Enhancing Security in Kubernetes Container Orchestration]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2312.2323</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 27 July 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2312.2323">doi:10.3844/jcssp.2026.2312.2323</a></p>Common Vulnerabilities and Exposures (CVE) are used a standard structure to identify and catalog security related flaws which are disclosed publicly. These noticed CVE's serve as references to systema...]]></content:encoded>
    <dc:title><![CDATA[Mitigation Strategies for Select Kubelet CVEs: Enhancing Security in Kubernetes Container Orchestration]]></dc:title><dc:creator>Manikandan   S.</dc:creator><dc:creator>Cecil  Donald</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2312.2323</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-07-27; | doi:10.3844/jcssp.2026.2312.2323</dc:source>
    <dc:date>2026-07-27</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2312.2323</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.2312.2323</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2324.2333">
    <title><![CDATA[CA-LIME: A Collinearity-Aware LIME Framework for Reliable and Interpretable Explanations in Healthcare AI]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2324.2333</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 28 July 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2324.2333">doi:10.3844/jcssp.2026.2324.2333</a></p>In clinical tabular models, correlated biomarkers can make local explanations unstable even when predictive performance appears acceptable. This paper presents CA-LIME, a collinearity-aware extension ...]]></content:encoded>
    <dc:title><![CDATA[CA-LIME: A Collinearity-Aware LIME Framework for Reliable and Interpretable Explanations in Healthcare AI]]></dc:title><dc:creator>Idris   Khan</dc:creator><dc:creator>Sachin   Bhoite</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2324.2333</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-07-28; | doi:10.3844/jcssp.2026.2324.2333</dc:source>
    <dc:date>2026-07-28</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2324.2333</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.2324.2333</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2334.2349">
    <title><![CDATA[Transforming Saffron Cultivation With Smart Hydroponics: An Artificial Intelligence of Things Approach to Crops and Nutrients Management]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2334.2349</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 28 July 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2334.2349">doi:10.3844/jcssp.2026.2334.2349</a></p>Agriculture is changing with the aid of new technologies, particularly in several Asian countries. This research applies Artificial Intelligence (AI) and the Internet of Things (IoT) to traditional fa...]]></content:encoded>
    <dc:title><![CDATA[Transforming Saffron Cultivation With Smart Hydroponics: An Artificial Intelligence of Things Approach to Crops and Nutrients Management]]></dc:title><dc:creator>Vivek   Raj</dc:creator><dc:creator>Gregory   Allen</dc:creator><dc:creator>Ananth Prabhu G.</dc:creator><dc:creator>Melwin   Dsouza</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2334.2349</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-07-28; | doi:10.3844/jcssp.2026.2334.2349</dc:source>
    <dc:date>2026-07-28</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2334.2349</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.2334.2349</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.2350.2366">
    <title><![CDATA[Implementing a Hybrid VMD–BiTCN–BiGRU Architecture With Intelligent Optimization for Agricultural Commodity Price Prognostication in Gujarat Markets]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.2350.2366</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 1 August 2026; <a href="https://thescipub.com/jcs/jcssp.2026.2350.2366">doi:10.3844/jcssp.2026.2350.2366</a></p>In the agricultural sector, the prices of pulses require adequate forecasting to plan farming activities, store and market, and guide policy-making. However, the pulse price series is highly volatile,...]]></content:encoded>
    <dc:title><![CDATA[Implementing a Hybrid VMD–BiTCN–BiGRU Architecture With Intelligent Optimization for Agricultural Commodity Price Prognostication in Gujarat Markets]]></dc:title><dc:creator>Jignesh   Hirapara</dc:creator><dc:creator>Ratnesh Kumar Namdeo</dc:creator><dc:creator>Ankit Kumar Dubey</dc:creator><dc:creator>Koushik   Choudhury</dc:creator><dc:creator>Sanjay Kumar Gupta</dc:creator><dc:creator>Milan   Doshi</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.2350.2366</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-08-01; | doi:10.3844/jcssp.2026.2350.2366</dc:source>
    <dc:date>2026-08-01</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.2350.2366</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.2350.2366</prism:url>
    </item></rdf:RDF>