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<title>Volume 20, Issue 4 (2024) | Journal of Computer Science</title>
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    <title><![CDATA[Classification of Thoracic X-Ray Images of COVID-19 Patients Using the Convolutional Neutral Network (CNN) Method]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.357.364</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 1 February 2024; <a href="https://thescipub.com/jcs/jcssp.2024.357.364">doi:10.3844/jcssp.2024.357.364</a></p>Recently, radiology modalities have been widely used to detect COVID-19. Thoracic X-rays and CT scans are the primary radiological tools utilized in the diagnosis and treatment of individuals with COV...]]></content:encoded>
    <dc:title><![CDATA[Classification of Thoracic X-Ray Images of COVID-19 Patients Using the Convolutional Neutral Network (CNN) Method]]></dc:title><dc:creator>Ramacos  Fardela</dc:creator><dc:creator>Dian  Milvita</dc:creator><dc:creator>Mawanda  Almuhayar</dc:creator><dc:creator>Dedi  Mardiansyah</dc:creator><dc:creator>Latifah Aulia Rasyada</dc:creator><dc:creator>Lukman Mul Hakim</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.357.364</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-02-01; | doi:10.3844/jcssp.2024.357.364</dc:source>
    <dc:date>2024-02-01</dc:date>
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    <title><![CDATA[Generating IoT Specific Anomaly Datasets Using Cooja Simulator (Contiki-OS) and Performance Evaluation of Deep Learning Model Coupled with Aquila Optimizer]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.365.378</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 1 February 2024; <a href="https://thescipub.com/jcs/jcssp.2024.365.378">doi:10.3844/jcssp.2024.365.378</a></p>In recent times, the massive expansion of the Internet of Things (IoT) has transformed various facets of everyday life and industries. The compelling cause behind the widespread adoption of IoT is the...]]></content:encoded>
    <dc:title><![CDATA[Generating IoT Specific Anomaly Datasets Using Cooja Simulator (Contiki-OS) and Performance Evaluation of Deep Learning Model Coupled with Aquila Optimizer]]></dc:title><dc:creator>Vandana  Choudhary</dc:creator><dc:creator>Sarvesh  Tanwar</dc:creator><dc:creator>Tanupriya  Choudhury</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.365.378</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-02-01; | doi:10.3844/jcssp.2024.365.378</dc:source>
    <dc:date>2024-02-01</dc:date>
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    <prism:doi>10.3844/jcssp.2024.365.378</prism:doi>
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    <title><![CDATA[Development of Big Data Classifier for Biomedicine Early Diagnosis: An Experimental Approach Using Machine Learning Methods]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.379.388</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 1 February 2024; <a href="https://thescipub.com/jcs/jcssp.2024.379.388">doi:10.3844/jcssp.2024.379.388</a></p>In the fast-phase world, data availability is abundant due to a rapid adaptation increase of big data technologies. Large amounts of data have been generated and collected at an unprecedented speed an...]]></content:encoded>
    <dc:title><![CDATA[Development of Big Data Classifier for Biomedicine Early Diagnosis: An Experimental Approach Using Machine Learning Methods]]></dc:title><dc:creator>Ma Beth Solas Concepcion</dc:creator><dc:creator>Bobby Dioquino Gerardo</dc:creator><dc:creator>Frank Ibañez Elijorde</dc:creator><dc:creator>Joel Traifalgar De Castro</dc:creator><dc:creator>Nerilou Bermudez Dela Cruz</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.379.388</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-02-01; | doi:10.3844/jcssp.2024.379.388</dc:source>
    <dc:date>2024-02-01</dc:date>
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    <prism:doi>10.3844/jcssp.2024.379.388</prism:doi>
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    <title><![CDATA[A Robust Medical Image Fusion Based on Synthetic Focusing Degree Criterion and Special Kernel Set for Clinical Diagnosis]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.389.399</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 6 February 2024; <a href="https://thescipub.com/jcs/jcssp.2024.389.399">doi:10.3844/jcssp.2024.389.399</a></p>Medical imaging has been widely used to diagnose diseases over the last two decades. Medical professionals still struggle to diagnose diseases using a single modality since there is a shortage of data...]]></content:encoded>
    <dc:title><![CDATA[A Robust Medical Image Fusion Based on Synthetic Focusing Degree Criterion and Special Kernel Set for Clinical Diagnosis]]></dc:title><dc:creator>Dawa Chyophel Lepcha</dc:creator><dc:creator>Bhawna  Goyal</dc:creator><dc:creator>Ayush  Dogra</dc:creator><dc:creator>Ahmed  Alkhayyat</dc:creator><dc:creator>Sanjeev Kumar Shah</dc:creator><dc:creator>Vinay  Kukreja</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.389.399</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-02-06; | doi:10.3844/jcssp.2024.389.399</dc:source>
    <dc:date>2024-02-06</dc:date>
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    <prism:doi>10.3844/jcssp.2024.389.399</prism:doi>
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    <title><![CDATA[CMMI V2.0 Maturity Level 2 and Scrum Applicability in Jordanian Agile Companies Based on Expert Review]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.400.407</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 6 February 2024; <a href="https://thescipub.com/jcs/jcssp.2024.400.407">doi:10.3844/jcssp.2024.400.407</a></p>It is essential for companies to employ the CMMI V2.0 practice areas to achieve their objectives. This study explores the extent to which these practice areas are applied by Jordanian Agile Companies ...]]></content:encoded>
    <dc:title><![CDATA[CMMI V2.0 Maturity Level 2 and Scrum Applicability in Jordanian Agile Companies Based on Expert Review]]></dc:title><dc:creator>Moath  Husni</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.400.407</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-02-06; | doi:10.3844/jcssp.2024.400.407</dc:source>
    <dc:date>2024-02-06</dc:date>
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    <prism:doi>10.3844/jcssp.2024.400.407</prism:doi>
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    <title><![CDATA[Advances in Forest Fire Detection, Prediction and Behavior: A Comprehensive Survey]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.408.418</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 7 February 2024; <a href="https://thescipub.com/jcs/jcssp.2024.408.418">doi:10.3844/jcssp.2024.408.418</a></p>Forest fires are a major environmental challenge that poses a threat to both human life and ecological health. To effectively prevent and manage forest fires, it is crucial to have reliable detection,...]]></content:encoded>
    <dc:title><![CDATA[Advances in Forest Fire Detection, Prediction and Behavior: A Comprehensive Survey]]></dc:title><dc:creator>Ahmad  Alkhatib</dc:creator><dc:creator>Khalid  Jaber</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.408.418</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-02-07; | doi:10.3844/jcssp.2024.408.418</dc:source>
    <dc:date>2024-02-07</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.408.418</prism:doi>
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    <title><![CDATA[Measuring Customers’ Satisfaction Using Sentiment Analysis: Model and Tool]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.419.430</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 7 February 2024; <a href="https://thescipub.com/jcs/jcssp.2024.419.430">doi:10.3844/jcssp.2024.419.430</a></p>Customer reviews are a valuable data resource for business owners and companies. Customers frequently write reviews on many platforms, such as eBay or Amazon. These reviews show, for instance, to what...]]></content:encoded>
    <dc:title><![CDATA[Measuring Customers’ Satisfaction Using Sentiment Analysis: Model and Tool]]></dc:title><dc:creator>Ahmed  Alqurafi</dc:creator><dc:creator>Tawfeeq  Alsanoosy</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.419.430</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-02-07; | doi:10.3844/jcssp.2024.419.430</dc:source>
    <dc:date>2024-02-07</dc:date>
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    <prism:doi>10.3844/jcssp.2024.419.430</prism:doi>
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    <title><![CDATA[Human Activity Prediction Studies Using Wearable Sensors and Machine Learning]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.431.441</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 14 February 2024; <a href="https://thescipub.com/jcs/jcssp.2024.431.441">doi:10.3844/jcssp.2024.431.441</a></p>Nowadays, Human Activity Recognition (HAR) systems have become so demanding that they find applications in the field of assisted living systems, elderly healthcare systems, smart homes, healthcare mon...]]></content:encoded>
    <dc:title><![CDATA[Human Activity Prediction Studies Using Wearable Sensors and Machine Learning]]></dc:title><dc:creator>Divya  Sharma</dc:creator><dc:creator>Usha  Chauhan</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.431.441</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-02-14; | doi:10.3844/jcssp.2024.431.441</dc:source>
    <dc:date>2024-02-14</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
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    <title><![CDATA[Fed-Deep CTRL (Light GBM)-Scalable, Interpretable, and Privacy-Preserving Federated Learning Framework for Wireless Intrusion Detection System]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.442.453</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 29 February 2024; <a href="https://thescipub.com/jcs/jcssp.2024.442.453">doi:10.3844/jcssp.2024.442.453</a></p>A learning-based intrusion detection system automates the understanding and reporting of network traffic information. The systems using neural networks and machine learning have demonstrated good dete...]]></content:encoded>
    <dc:title><![CDATA[Fed-Deep CTRL (Light GBM)-Scalable, Interpretable, and Privacy-Preserving Federated Learning Framework for Wireless Intrusion Detection System]]></dc:title><dc:creator>Sudaroli  Vijayakumar</dc:creator><dc:creator>V.  Muthumanikandan</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.442.453</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-02-29; | doi:10.3844/jcssp.2024.442.453</dc:source>
    <dc:date>2024-02-29</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.442.453</prism:doi>
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    <title><![CDATA[Forecasting Model of Corn Commodity Production in Indonesia: Production and Operation Management-Quantitative Method (POM-QM) Software]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.454.464</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 20 February 2024; <a href="https://thescipub.com/jcs/jcssp.2024.454.464">doi:10.3844/jcssp.2024.454.464</a></p>Food is essential for humans. In addition to being consumed, it can also be a valuable commodity for economic purposes through the production of food crops. Therefore, this study aims to model the for...]]></content:encoded>
    <dc:title><![CDATA[Forecasting Model of Corn Commodity Production in Indonesia: Production and Operation Management-Quantitative Method (POM-QM) Software]]></dc:title><dc:creator>  Asriani</dc:creator><dc:creator>Dhian  Herdhiansyah</dc:creator><dc:creator>Wa  Embe</dc:creator><dc:creator>LM Fid Aksara</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.454.464</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-02-20; | doi:10.3844/jcssp.2024.454.464</dc:source>
    <dc:date>2024-02-20</dc:date>
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