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<title>Volume 22, Issue 3 (2026) | Journal of Computer Science</title>
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    <title><![CDATA[A Context-Aware Temporal Convolutional Network for Water Replacement Prediction in Catfish Biofloc Ponds With Imbalanced Event Handling]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 5 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.747.765">doi:10.3844/jcssp.2026.747.765</a></p>Water replacement is a biologically critical yet under-automated decision in biofloc-based aquaculture systems. Mistimed actions can destabilize microbial ecosystems, elevate fish mortality, and compr...]]></content:encoded>
    <dc:title><![CDATA[A Context-Aware Temporal Convolutional Network for Water Replacement Prediction in Catfish Biofloc Ponds With Imbalanced Event Handling]]></dc:title><dc:creator>    Yaddarabullah</dc:creator><dc:creator>Inanpi Hidayati Sumiasih</dc:creator><dc:creator>Mutiara Dewi Puspitawati</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.747.765</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-05; | doi:10.3844/jcssp.2026.747.765</dc:source>
    <dc:date>2026-03-05</dc:date>
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    <title><![CDATA[LSTM-Based AI Model for Sinkhole Attack Detection With Legal Basis in an Ecuadorian Public Institution]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 4 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.766.777">doi:10.3844/jcssp.2026.766.777</a></p>Wireless Sensor Networks (WSN) are an essential component of the Internet of Things (IoT). However, their decentralized nature, data transmission over unencrypted channels, and the physical exposure o...]]></content:encoded>
    <dc:title><![CDATA[LSTM-Based AI Model for Sinkhole Attack Detection With Legal Basis in an Ecuadorian Public Institution]]></dc:title><dc:creator>Estefanía Alejandra Mora Parra</dc:creator><dc:creator>Rubén Nogales Portero</dc:creator><dc:creator>Moisés Toapanta T.</dc:creator><dc:creator>Estefanía Monge Martínez</dc:creator><dc:creator>Santiago Vayas Castro</dc:creator><dc:creator>Jeanette Elizabeth Jordán Buenaño</dc:creator><dc:creator>Juan Escobar Naranjo</dc:creator><dc:creator>Diego Gustavo Andrade Armas</dc:creator><dc:creator>Rodrigo Del Pozo Durango</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.766.777</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-04; | doi:10.3844/jcssp.2026.766.777</dc:source>
    <dc:date>2026-03-04</dc:date>
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    <title><![CDATA[Risk Assessment of Healthcare Information Systems in Indonesian Regional Government Hospitals Using ISO 27001:2022]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 13 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.778.786">doi:10.3844/jcssp.2026.778.786</a></p>The growing number of cyber-attacks targeting the healthcare sector, particularly Indonesian regional government hospitals, reflects the absence of a structured information security management system....]]></content:encoded>
    <dc:title><![CDATA[Risk Assessment of Healthcare Information Systems in Indonesian Regional Government Hospitals Using ISO 27001:2022]]></dc:title><dc:creator>Deo Alif Alfitrah</dc:creator><dc:creator>Nilo   Leegowo</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.778.786</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-13; | doi:10.3844/jcssp.2026.778.786</dc:source>
    <dc:date>2026-03-13</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.778.786</prism:doi>
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    <title><![CDATA[Edge Computing Enabled Human Activity Recognition (ECEHAR) Using LSTM and CNN]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.787.799</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 6 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.787.799">doi:10.3844/jcssp.2026.787.799</a></p>Human Activity Recognition (HAR) is an important research area for various application domains such as healthcare, gaming, telemonitoring, and sports. However, executing HAR algorithms on remote serve...]]></content:encoded>
    <dc:title><![CDATA[Edge Computing Enabled Human Activity Recognition (ECEHAR) Using LSTM and CNN]]></dc:title><dc:creator>Suresh   Kumar</dc:creator><dc:creator>M Y. Mohamed Parvees</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.787.799</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-06; | doi:10.3844/jcssp.2026.787.799</dc:source>
    <dc:date>2026-03-06</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.787.799</prism:doi>
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    <title><![CDATA[A Novel Time-Based Switch Migration Method (TSSM) for Load Balancing in Distributed Software-Defined Networking]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.800.812</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 6 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.800.812">doi:10.3844/jcssp.2026.800.812</a></p>Switch migration is predominantly used for workload balancing in distributed Software Defined Network (SDN) controllers. The Time-Sharing Switch Migration (TSSM) technique allowed the switch's respons...]]></content:encoded>
    <dc:title><![CDATA[A Novel Time-Based Switch Migration Method (TSSM) for Load Balancing in Distributed Software-Defined Networking]]></dc:title><dc:creator>Thangaraj   E</dc:creator><dc:creator>Dinesh   K</dc:creator><dc:creator>Prabhakaran   Paulraj</dc:creator><dc:creator>A   Barkathulla</dc:creator><dc:creator>Margaret   Flora</dc:creator><dc:creator>Karthik   Elangovan</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.800.812</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-06; | doi:10.3844/jcssp.2026.800.812</dc:source>
    <dc:date>2026-03-06</dc:date>
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    <title><![CDATA[Hybrid Deep Learning for Kidney Stone Detection in CT Scans With Noise Reduction and Feature Enhancement]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.813.825</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 10 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.813.825">doi:10.3844/jcssp.2026.813.825</a></p>The identification of kidney stones using CT scans is an essential but difficult effort in medical diagnostics, frequently obstructed by imaging noise and the complexity of manual interpretation. Alth...]]></content:encoded>
    <dc:title><![CDATA[Hybrid Deep Learning for Kidney Stone Detection in CT Scans With Noise Reduction and Feature Enhancement]]></dc:title><dc:creator>U. M. Fernandes Dimlo</dc:creator><dc:creator>Sreenu   Banoth</dc:creator><dc:creator>Priti   Bihade</dc:creator><dc:creator>Yahia   Mjery</dc:creator><dc:creator>K. Jayaram Kumar</dc:creator><dc:creator>Umanesan   R</dc:creator><dc:creator>A. Saran Kumar</dc:creator><dc:creator>V.   Bhoopathy</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.813.825</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-10; | doi:10.3844/jcssp.2026.813.825</dc:source>
    <dc:date>2026-03-10</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.813.825</prism:doi>
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    <title><![CDATA[IoT Anomaly Detection Using Picture Fuzzy Clustering Approach]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.826.839</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 6 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.826.839">doi:10.3844/jcssp.2026.826.839</a></p>Improving the effectiveness of security systems without slowing them down is a major challenge in cybersecurity. Many methods have been explored for detecting anomalous behaviour in network data, with...]]></content:encoded>
    <dc:title><![CDATA[IoT Anomaly Detection Using Picture Fuzzy Clustering Approach]]></dc:title><dc:creator>Fehmin Nadira Laskar</dc:creator><dc:creator>Vijo Arul Selvi M.</dc:creator><dc:creator>Fokrul Alom Mazarbhuiya</dc:creator><dc:creator>Mohamed   Shenify</dc:creator><dc:creator>Vijay   Prasad</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.826.839</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-06; | doi:10.3844/jcssp.2026.826.839</dc:source>
    <dc:date>2026-03-06</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.826.839</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.840.859">
    <title><![CDATA[Chatbot for Academic Advising: Case Study at Saudi Electronic University]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.840.859</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 7 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.840.859">doi:10.3844/jcssp.2026.840.859</a></p>Student support solutions in higher education are evolving, with an increasing focus on making services more accessible and providing individual assistance. Chatbots are emerging as powerful tools for...]]></content:encoded>
    <dc:title><![CDATA[Chatbot for Academic Advising: Case Study at Saudi Electronic University]]></dc:title><dc:creator>Madawi Faisal Alsoyohi</dc:creator><dc:creator>Nahlah   Algethami</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.840.859</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-07; | doi:10.3844/jcssp.2026.840.859</dc:source>
    <dc:date>2026-03-07</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.840.859</prism:doi>
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    <title><![CDATA[Enhancing Video Tampering Detection Using Dynamic Temporal LSTM With Adaptive CNN]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.860.877</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 7 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.860.877">doi:10.3844/jcssp.2026.860.877</a></p>In the domain of information technology, video tampering detection has become hyper critical principally with the increase in deep fake as everyone is having affordable access to the internet. The lon...]]></content:encoded>
    <dc:title><![CDATA[Enhancing Video Tampering Detection Using Dynamic Temporal LSTM With Adaptive CNN]]></dc:title><dc:creator>Gurpreet Kour Khalsa</dc:creator><dc:creator>Rakesh   Ahuja</dc:creator><dc:creator>Rattan Deep Aneja </dc:creator><dc:identifier>doi:10.3844/jcssp.2026.860.877</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-07; | doi:10.3844/jcssp.2026.860.877</dc:source>
    <dc:date>2026-03-07</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.860.877</prism:doi>
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    <title><![CDATA[Predictive Mathematical Modeling and Classification of Retail Sales Orders Using AI Machine Learning Techniques]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.878.885</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 10 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.878.885">doi:10.3844/jcssp.2026.878.885</a></p>This study presents a systematic mathematical model known as a low-code approach to classifying retail sales orders by size using AI machine learning techniques within the Orange Data Mining platform....]]></content:encoded>
    <dc:title><![CDATA[Predictive Mathematical Modeling and Classification of Retail Sales Orders Using AI Machine Learning Techniques]]></dc:title><dc:creator>Mohammad Subhi Al-Batah</dc:creator><dc:creator>Mowafaq Salem Alzboon</dc:creator><dc:creator>Hamzeh   Zureigat</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.878.885</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-10; | doi:10.3844/jcssp.2026.878.885</dc:source>
    <dc:date>2026-03-10</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.878.885</prism:doi>
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    <title><![CDATA[Senior Expertise and Peer Consensus: A Comparative Analysis of AI and Clinician Measurements in Multi-Curve Scoliosis Assessment]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.886.897</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 9 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.886.897">doi:10.3844/jcssp.2026.886.897</a></p>Given the scarcity in the literature, this study explored the use of AI for multi-curve scoliosis assessment. Its performance was analyzed through comparison against a group of clinicians composed of ...]]></content:encoded>
    <dc:title><![CDATA[Senior Expertise and Peer Consensus: A Comparative Analysis of AI and Clinician Measurements in Multi-Curve Scoliosis Assessment]]></dc:title><dc:creator>Frank Ibañez Elijorde</dc:creator><dc:creator>Joselito F. Villaruz</dc:creator><dc:creator>Ma Beth S. Concepcion</dc:creator><dc:creator>Mylo N. Soriaso</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.886.897</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-09; | doi:10.3844/jcssp.2026.886.897</dc:source>
    <dc:date>2026-03-09</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.886.897</prism:doi>
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    <title><![CDATA[Smart and Secure Anomaly Detection in IoT Using Quantum Inspired Kernel Ensemble Learning]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.898.918</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 12 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.898.918">doi:10.3844/jcssp.2026.898.918</a></p>The exponential growth of the Internet of Things networks has greatly increased the attack surface for cyber threats, necessitating the use of strong and perceptive anomaly detection systems. Traditio...]]></content:encoded>
    <dc:title><![CDATA[Smart and Secure Anomaly Detection in IoT Using Quantum Inspired Kernel Ensemble Learning]]></dc:title><dc:creator>Abrar M. Alajlan</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.898.918</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-12; | doi:10.3844/jcssp.2026.898.918</dc:source>
    <dc:date>2026-03-12</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.898.918</prism:doi>
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    <title><![CDATA[Transfer Learning-Driven Binary Classification of Chest X-ray for Pneumonia Using Deep Convolutional Architectures]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.919.937</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 10 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.919.937">doi:10.3844/jcssp.2026.919.937</a></p>Pneumonia is the most common infectious cause of lung inflammation, resulting from the presence of viruses or bacteria in the microscopic air sacs. In recent years, artificial intelligence, particular...]]></content:encoded>
    <dc:title><![CDATA[Transfer Learning-Driven Binary Classification of Chest X-ray for Pneumonia Using Deep Convolutional Architectures]]></dc:title><dc:creator>Nusrath   Fathima</dc:creator><dc:creator>Pradeep   Kumar</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.919.937</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-10; | doi:10.3844/jcssp.2026.919.937</dc:source>
    <dc:date>2026-03-10</dc:date>
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    <title><![CDATA[Exploring University Students' Perceptions of AI Tools in Programming Education: An Extended TAM Approach]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.938.946</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 11 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.938.946">doi:10.3844/jcssp.2026.938.946</a></p>Generative Artificial Intelligence (AI) is commonly used in programming education. Tools such as ChatGPT and GitHub Copilot aid in code generation, debugging, and explanation. The benefits are clear, ...]]></content:encoded>
    <dc:title><![CDATA[Exploring University Students' Perceptions of AI Tools in Programming Education: An Extended TAM Approach]]></dc:title><dc:creator>Areej Abdullah Alfuhaid</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.938.946</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-11; | doi:10.3844/jcssp.2026.938.946</dc:source>
    <dc:date>2026-03-11</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.938.946</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.938.946</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.947.959">
    <title><![CDATA[Adopting Artificial Intelligence in ERP Systems as an Innovation to Support Business Growth: A Systematic Literature Review]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.947.959</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 11 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.947.959">doi:10.3844/jcssp.2026.947.959</a></p>Digital transformation is driving the integration of Artificial Intelligence (AI) into Enterprise Resource Planning (ERP) systems as an innovative strategy to improve organizational competitiveness. H...]]></content:encoded>
    <dc:title><![CDATA[Adopting Artificial Intelligence in ERP Systems as an Innovation to Support Business Growth: A Systematic Literature Review]]></dc:title><dc:creator>Amalia Sulfinita Lawendatu</dc:creator><dc:creator>Fajar   Hidayat</dc:creator><dc:creator>Fathy   Radhia</dc:creator><dc:creator>Sugiarto   Hartono</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.947.959</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-11; | doi:10.3844/jcssp.2026.947.959</dc:source>
    <dc:date>2026-03-11</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.947.959</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.947.959</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.960.980">
    <title><![CDATA[IoT-Based Smart Hydroponic System for Nutrient Management Using Predictive Machine Learning Algorithms]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.960.980</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 11 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.960.980">doi:10.3844/jcssp.2026.960.980</a></p>Hydroponics, an efficient cultivation method, benefits significantly from the precision and adaptability that Machine Learning (ML) algorithms can offer, along with the real-time monitoring facilitate...]]></content:encoded>
    <dc:title><![CDATA[IoT-Based Smart Hydroponic System for Nutrient Management Using Predictive Machine Learning Algorithms]]></dc:title><dc:creator>Palash   Gourshettiwar</dc:creator><dc:creator>K. T. V.   Reddy</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.960.980</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-11; | doi:10.3844/jcssp.2026.960.980</dc:source>
    <dc:date>2026-03-11</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.960.980</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.960.980</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.981.1013">
    <title><![CDATA[A Comprehensive Review of Medical Image Denoising: Techniques, Challenges, Applications and Future Directions]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.981.1013</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 28 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.981.1013">doi:10.3844/jcssp.2026.981.1013</a></p>The concept of noise reduction in medical images plays a vital role in improving image quality and accuracy associated with diagnosis, and facilitating reliable automated analysis. This survey present...]]></content:encoded>
    <dc:title><![CDATA[A Comprehensive Review of Medical Image Denoising: Techniques, Challenges, Applications and Future Directions]]></dc:title><dc:creator>Mohit   Sharma</dc:creator><dc:creator>Ayush   Dogra</dc:creator><dc:creator>Anita   Gupta</dc:creator><dc:creator>Bhawna   Goyal</dc:creator><dc:creator>Dawa Chyophel Lepcha</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.981.1013</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-28; | doi:10.3844/jcssp.2026.981.1013</dc:source>
    <dc:date>2026-03-28</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.981.1013</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.981.1013</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.1014.1033">
    <title><![CDATA[Optimized Vehicle Insurance Claim and Settlement Procedures Using IOT Sensors on a Blockchain-Based Platform]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.1014.1033</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 26 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.1014.1033">doi:10.3844/jcssp.2026.1014.1033</a></p>The conventional vehicle insurance claim and settlement landscape is characterised by significant inefficiencies, including cumbersome claim submissions, arbitrary damage assessments, and susceptibili...]]></content:encoded>
    <dc:title><![CDATA[Optimized Vehicle Insurance Claim and Settlement Procedures Using IOT Sensors on a Blockchain-Based Platform]]></dc:title><dc:creator>Preeti   Sharma</dc:creator><dc:creator>Meenakshi   Malik</dc:creator><dc:creator>Chander   Prabha</dc:creator><dc:creator>Ibrahim   Aljubayri</dc:creator><dc:creator>Retinderdeep   Singh</dc:creator><dc:creator>Mohammad Zubair Khan</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.1014.1033</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-26; | doi:10.3844/jcssp.2026.1014.1033</dc:source>
    <dc:date>2026-03-26</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.1014.1033</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.1014.1033</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.1034.1044">
    <title><![CDATA[Enhancing Social Media Face Emotion Recognition Using a Fuzzy ELM Approach]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.1034.1044</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 20 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.1034.1044">doi:10.3844/jcssp.2026.1034.1044</a></p>Our computational tools for searching, exploring, and sharing personal photographs are falling behind the rapid pace at which these images are being captured digitally. The use of automatic face recog...]]></content:encoded>
    <dc:title><![CDATA[Enhancing Social Media Face Emotion Recognition Using a Fuzzy ELM Approach]]></dc:title><dc:creator>Shuchi   Gupta</dc:creator><dc:creator>K.   Viswanath</dc:creator><dc:creator>S. Gokul Pran</dc:creator><dc:creator>L. R. Sujithra</dc:creator><dc:creator>Yadluri Ravi Kishore</dc:creator><dc:creator>Arepalli   Gopi</dc:creator><dc:creator>M. K. Mohamed Faizal</dc:creator><dc:creator>V.   Bhoopathy</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.1034.1044</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-20; | doi:10.3844/jcssp.2026.1034.1044</dc:source>
    <dc:date>2026-03-20</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.1034.1044</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.1034.1044</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.1045.1059">
    <title><![CDATA[Development of a Machine Learning Based Mobile and Web Crop Recommendation System for Precision Farming in Wardha]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.1045.1059</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 20 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.1045.1059">doi:10.3844/jcssp.2026.1045.1059</a></p>Agricultural productivity is crucial for economic growth of a nation, especially for countries like India which is highly dependent on agriculture. This study addresses the need for cutting-edge techn...]]></content:encoded>
    <dc:title><![CDATA[Development of a Machine Learning Based Mobile and Web Crop Recommendation System for Precision Farming in Wardha]]></dc:title><dc:creator>Aishwarya   Kadu</dc:creator><dc:creator>KTV   Reddy</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.1045.1059</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-20; | doi:10.3844/jcssp.2026.1045.1059</dc:source>
    <dc:date>2026-03-20</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.1045.1059</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.1045.1059</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.1060.1072">
    <title><![CDATA[Ontology Based Knowledge Management System Design for Organic Farming]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.1060.1072</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 25 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.1060.1072">doi:10.3844/jcssp.2026.1060.1072</a></p>In the current agricultural system, information is often gathered manually, and farmers make decisions based on their judgment. Occasionally, they seek advice from experts and extension officers. Nume...]]></content:encoded>
    <dc:title><![CDATA[Ontology Based Knowledge Management System Design for Organic Farming]]></dc:title><dc:creator>Muqeem  Ahmed</dc:creator><dc:creator>Afrah   Fathima</dc:creator><dc:creator>Mohammad   Islam</dc:creator><dc:creator>Tunga   Arundhathi</dc:creator><dc:creator>Amir   Khan</dc:creator><dc:creator>MD   Gulzar</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.1060.1072</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-25; | doi:10.3844/jcssp.2026.1060.1072</dc:source>
    <dc:date>2026-03-25</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.1060.1072</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.1060.1072</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.1073.1082">
    <title><![CDATA[Comparative Study of BERT Based Architectures for Multi Task News Classification and Threat Detection]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.1073.1082</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 25 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.1073.1082">doi:10.3844/jcssp.2026.1073.1082</a></p>We present a comparative analysis of single-task and multi-task BERT-based models for Indonesian news classification across two objectives: category prediction (five classes) and threat detection (bin...]]></content:encoded>
    <dc:title><![CDATA[Comparative Study of BERT Based Architectures for Multi Task News Classification and Threat Detection]]></dc:title><dc:creator>A. Mustain   Billah</dc:creator><dc:creator>Sani  M Isa</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.1073.1082</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-25; | doi:10.3844/jcssp.2026.1073.1082</dc:source>
    <dc:date>2026-03-25</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.1073.1082</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.1073.1082</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.1083.1099">
    <title><![CDATA[A Comparative Analysis of IoT Security Frameworks With BIoTC]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.1083.1099</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 28 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.1083.1099">doi:10.3844/jcssp.2026.1083.1099</a></p>The Internet of Things (IoT) has reshaped the modern intelligent environments, but it remains vulnerable to sophisticated attacks such as Man-in-the-Middle (MITM), RFID cloning, unauthorized access, a...]]></content:encoded>
    <dc:title><![CDATA[A Comparative Analysis of IoT Security Frameworks With BIoTC]]></dc:title><dc:creator>Gaurav   Vats</dc:creator><dc:creator>Sarvesh   Tanwar</dc:creator><dc:creator>Pankaj Kumar Sharma</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.1083.1099</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-28; | doi:10.3844/jcssp.2026.1083.1099</dc:source>
    <dc:date>2026-03-28</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.1083.1099</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.1083.1099</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.1100.1112">
    <title><![CDATA[Deep Learning and Image Analytics for Forest Land Management: Classification, and Object Detection]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.1100.1112</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 26 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.1100.1112">doi:10.3844/jcssp.2026.1100.1112</a></p>Rapid urbanization and industrialization have contributed to deforestation which has led to a severe degradation of the environment and biodiversity loss. Traditional field survey methods are not appl...]]></content:encoded>
    <dc:title><![CDATA[Deep Learning and Image Analytics for Forest Land Management: Classification, and Object Detection]]></dc:title><dc:creator>Devam   Dixit</dc:creator><dc:creator>Aditya   Bhavsar</dc:creator><dc:creator>Shreyas   Jani</dc:creator><dc:creator>Nilesh   Yadav</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.1100.1112</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-26; | doi:10.3844/jcssp.2026.1100.1112</dc:source>
    <dc:date>2026-03-26</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.1100.1112</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.1100.1112</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.1113.1126">
    <title><![CDATA[Enhancing Brain MR Image Quality Using CNN With Best Denoising Modality for Improved Diagnosis of Abnormality: An Appraisal]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.1113.1126</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 26 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.1113.1126">doi:10.3844/jcssp.2026.1113.1126</a></p>Digital medical images acquired from the brain are highly susceptible to noise, which causes significant challenges for radiologists to identify abnormalities in a precise manner. Noise interference h...]]></content:encoded>
    <dc:title><![CDATA[Enhancing Brain MR Image Quality Using CNN With Best Denoising Modality for Improved Diagnosis of Abnormality: An Appraisal]]></dc:title><dc:creator>Kavery   Verma</dc:creator><dc:creator>Subodh   Srivastava</dc:creator><dc:creator>Ritesh Kumar Mishra</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.1113.1126</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-26; | doi:10.3844/jcssp.2026.1113.1126</dc:source>
    <dc:date>2026-03-26</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.1113.1126</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.1113.1126</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.1127.1138">
    <title><![CDATA[A Context Aware Deep Learning Framework for Multi-Level Arabic Fake News Detection Using Hybrid Linguistic Representations]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.1127.1138</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 27 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.1127.1138">doi:10.3844/jcssp.2026.1127.1138</a></p>The rapid spread of false information on social media has made it even more important to be able to spot false news, especially in Arabic-speaking areas where language is more complicated and news is ...]]></content:encoded>
    <dc:title><![CDATA[A Context Aware Deep Learning Framework for Multi-Level Arabic Fake News Detection Using Hybrid Linguistic Representations]]></dc:title><dc:creator>Noor Mahmoud Alkudah</dc:creator><dc:creator>Somia   Abufakher</dc:creator><dc:creator>Raja   Masadeh</dc:creator><dc:creator>Esraa   Masadeh</dc:creator><dc:creator>Norma   Bataina</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.1127.1138</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-27; | doi:10.3844/jcssp.2026.1127.1138</dc:source>
    <dc:date>2026-03-27</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.1127.1138</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.1127.1138</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2026.1139.1144">
    <title><![CDATA[Multi-Satellite Custody of Moving Ground Targets]]></title>
    <link>https://thescipub.com/jcs/jcssp.2026.1139.1144</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 25 March 2026; <a href="https://thescipub.com/jcs/jcssp.2026.1139.1144">doi:10.3844/jcssp.2026.1139.1144</a></p>Maintaining persistent custody of ground targets from Low Earth Orbit (LEO) is a key challenge in space-based surveillance and reconnaissance. Traditional rule-based tasking strategies struggle with s...]]></content:encoded>
    <dc:title><![CDATA[Multi-Satellite Custody of Moving Ground Targets]]></dc:title><dc:creator>David   Schuster</dc:creator><dc:identifier>doi:10.3844/jcssp.2026.1139.1144</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2026-03-25; | doi:10.3844/jcssp.2026.1139.1144</dc:source>
    <dc:date>2026-03-25</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2026.1139.1144</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2026.1139.1144</prism:url>
    </item></rdf:RDF>