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<title>Volume 20, Issue 3 (2024) | Journal of Computer Science</title>
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    <title><![CDATA[Deep Transfer Learning Approach for Student Attendance System During the COVID-19 Pandemic]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.229.238</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 16 January 2024; <a href="https://thescipub.com/jcs/jcssp.2024.229.238">doi:10.3844/jcssp.2024.229.238</a></p>Marking students' attendance has been a challenge during the COVID-19 pandemic. It is a time-consuming task due to the abnormally high number of students present during a learning session; many studie...]]></content:encoded>
    <dc:title><![CDATA[Deep Transfer Learning Approach for Student Attendance System During the COVID-19 Pandemic]]></dc:title><dc:creator>Slimane  Ennajar</dc:creator><dc:creator>Walid  Bouarifi</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.229.238</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-01-16; | doi:10.3844/jcssp.2024.229.238</dc:source>
    <dc:date>2024-01-16</dc:date>
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    <prism:doi>10.3844/jcssp.2024.229.238</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.239.253">
    <title><![CDATA[Analysing Domain-Specific Sentiments in Healthcare: SentiWordNet Adjusted Vader Sentiment Analysis (SAVSA)]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.239.253</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 16 January 2024; <a href="https://thescipub.com/jcs/jcssp.2024.239.253">doi:10.3844/jcssp.2024.239.253</a></p>Sentiment analysis, the process of understanding people's emotions and opinions in the digital age, holds significant importance for both content creators and consumers in the era of abundant online c...]]></content:encoded>
    <dc:title><![CDATA[Analysing Domain-Specific Sentiments in Healthcare: SentiWordNet Adjusted Vader Sentiment Analysis (SAVSA)]]></dc:title><dc:creator>Thambusamy  Velmurugan</dc:creator><dc:creator>Sridevi Perumal Chokkalingam</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.239.253</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-01-16; | doi:10.3844/jcssp.2024.239.253</dc:source>
    <dc:date>2024-01-16</dc:date>
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    <prism:doi>10.3844/jcssp.2024.239.253</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.254.264">
    <title><![CDATA[Securing Mobile Devices from Malware: A Faceoff Between Federated Learning and Deep Learning Models for Android Malware Classification]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.254.264</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 23 January 2024; <a href="https://thescipub.com/jcs/jcssp.2024.254.264">doi:10.3844/jcssp.2024.254.264</a></p>Amidst the escalating threats of android malware, urgency mounts to detect issues while safeguarding user privacy. Traditional machine learning and deep learning methods, dealt with scalability challe...]]></content:encoded>
    <dc:title><![CDATA[Securing Mobile Devices from Malware: A Faceoff Between Federated Learning and Deep Learning Models for Android Malware Classification]]></dc:title><dc:creator>Narayan  Subramanian</dc:creator><dc:creator>Logesh  Ravi</dc:creator><dc:creator>Mithin Jain Shaan</dc:creator><dc:creator>Malathi  Devarajan</dc:creator><dc:creator>Tanupriya  Choudhury</dc:creator><dc:creator>Ketan  Kotecha</dc:creator><dc:creator>Subramaniyaswamy  Vairavasundaram</dc:creator><dc:creator>Tanupriya  Choudhury</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.254.264</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-01-23; | doi:10.3844/jcssp.2024.254.264</dc:source>
    <dc:date>2024-01-23</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.254.264</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.265.275">
    <title><![CDATA[An Adaptive Data Preprocessing Framework for Improved Learning: A Case Study of Tangier Container Terminal]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.265.275</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 25 January 2024; <a href="https://thescipub.com/jcs/jcssp.2024.265.275">doi:10.3844/jcssp.2024.265.275</a></p>Container terminals are critical nodes within the maritime transportation system that have a vital function in global merchandise trade, handling a significant volume of cargo through the use of vario...]]></content:encoded>
    <dc:title><![CDATA[An Adaptive Data Preprocessing Framework for Improved Learning: A Case Study of Tangier Container Terminal]]></dc:title><dc:creator>Mostafa  Al Uahabi</dc:creator><dc:creator>Hicham  Attariuas</dc:creator><dc:creator>Mohammed  Saleh</dc:creator><dc:creator>Mohamed  Chentouf</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.265.275</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-01-25; | doi:10.3844/jcssp.2024.265.275</dc:source>
    <dc:date>2024-01-25</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.265.275</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.276.290">
    <title><![CDATA[Factors Influencing Student Individual Performance of University XYZ Through the Use of Mobile Learning Management System]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.276.290</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 27 January 2024; <a href="https://thescipub.com/jcs/jcssp.2024.276.290">doi:10.3844/jcssp.2024.276.290</a></p>This study investigates the impact of unsupervised learning within mobile Learning Management Systems (LMS) on student individual performance at university XYZ, Indonesia. We conducted data collection...]]></content:encoded>
    <dc:title><![CDATA[Factors Influencing Student Individual Performance of University XYZ Through the Use of Mobile Learning Management System]]></dc:title><dc:creator>Stanley  Limonthy</dc:creator><dc:creator>Evaristus Didik Madyatmadja</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.276.290</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-01-27; | doi:10.3844/jcssp.2024.276.290</dc:source>
    <dc:date>2024-01-27</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.276.290</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.291.302">
    <title><![CDATA[Fuel Prediction Model for Driving Patterns Using Machine Learning Techniques]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.291.302</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 29 January 2024; <a href="https://thescipub.com/jcs/jcssp.2024.291.302">doi:10.3844/jcssp.2024.291.302</a></p>In recent years, the demand for fuel efficiency has become a crucial aspect of the automotive industry. Predicting fuel economy accurately is essential for optimizing vehicle performance and reducing ...]]></content:encoded>
    <dc:title><![CDATA[Fuel Prediction Model for Driving Patterns Using Machine Learning Techniques]]></dc:title><dc:creator>Manjunath  TK</dc:creator><dc:creator>Ashok Kumar PS</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.291.302</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-01-29; | doi:10.3844/jcssp.2024.291.302</dc:source>
    <dc:date>2024-01-29</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.291.302</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2024.291.302</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.303.309">
    <title><![CDATA[Analysis of Mental Health Counseling Conversation Using Natural Language Processing]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.303.309</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 29 January 2024; <a href="https://thescipub.com/jcs/jcssp.2024.303.309">doi:10.3844/jcssp.2024.303.309</a></p>One of the most significant public health challenges of our day is mental illness. Despite the benefits of psychotherapy and counseling, our understanding of conducting effective counseling conversati...]]></content:encoded>
    <dc:title><![CDATA[Analysis of Mental Health Counseling Conversation Using Natural Language Processing]]></dc:title><dc:creator>Saad  Ahmed</dc:creator><dc:creator>Sidrah  Khurshid</dc:creator><dc:creator>Muhammad  Imran</dc:creator><dc:creator>Muhammad Shoaib Siddiqui</dc:creator><dc:creator>Saman  Hina</dc:creator><dc:creator>Munad  Ahmed</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.303.309</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-01-29; | doi:10.3844/jcssp.2024.303.309</dc:source>
    <dc:date>2024-01-29</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.303.309</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.310.332">
    <title><![CDATA[A Comprehensive Survey on Applications, Challenges, Threats and Solutions in IoT Environment and Architecture]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.310.332</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 January 2024; <a href="https://thescipub.com/jcs/jcssp.2024.310.332">doi:10.3844/jcssp.2024.310.332</a></p>The influence of the Internet of Things (IoT) on how people live, interact and conduct business has rapidly increased. Integrating physical objects with electronic networking, or the Internet of Thing...]]></content:encoded>
    <dc:title><![CDATA[A Comprehensive Survey on Applications, Challenges, Threats and Solutions in IoT Environment and Architecture]]></dc:title><dc:creator>Sadia  Waheed</dc:creator><dc:creator>Savera  Hanif</dc:creator><dc:creator>Rubab  Hafeez</dc:creator><dc:creator>Muhammad Imran Sharif</dc:creator><dc:creator>Kamran  Siddique</dc:creator><dc:creator>Zahid  Akhtar</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.310.332</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-01-30; | doi:10.3844/jcssp.2024.310.332</dc:source>
    <dc:date>2024-01-30</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.310.332</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.333.343">
    <title><![CDATA[A Spectrum Sensing and Allocation Model for Primary User Detection and Interference Mitigation in Television Whitespaces]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.333.343</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 29 January 2024; <a href="https://thescipub.com/jcs/jcssp.2024.333.343">doi:10.3844/jcssp.2024.333.343</a></p>Television White Space (TVWS) emerges as an encouraging solution to address the challenge of a restricted wireless communication spectrum. It denotes the frequency range spanning from 54-790 MHz and r...]]></content:encoded>
    <dc:title><![CDATA[A Spectrum Sensing and Allocation Model for Primary User Detection and Interference Mitigation in Television Whitespaces]]></dc:title><dc:creator>Joachim  Notcker</dc:creator><dc:creator>Emmanuel  Adetiba</dc:creator><dc:creator>Emmanuel  Adetiba</dc:creator><dc:creator>Kennedy Kibet Ronoh</dc:creator><dc:creator>Abdultaofeek  Abayomi</dc:creator><dc:creator>Olubunmi Adewale Akinola</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.333.343</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-01-29; | doi:10.3844/jcssp.2024.333.343</dc:source>
    <dc:date>2024-01-29</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.333.343</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2024.333.343</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.344.356">
    <title><![CDATA[Investigation and Statistical Analysis of Cloud Droplet Dynamics Using Quantum Computing]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.344.356</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 January 2024; <a href="https://thescipub.com/jcs/jcssp.2024.344.356">doi:10.3844/jcssp.2024.344.356</a></p>Cloud droplet dynamics is an important part of cloud physics. This element of cloud physics analyses the features of each droplet, including its size distribution, probability density and mean saturat...]]></content:encoded>
    <dc:title><![CDATA[Investigation and Statistical Analysis of Cloud Droplet Dynamics Using Quantum Computing]]></dc:title><dc:creator>Mukta  Nivelkar</dc:creator><dc:creator>Sunil  Bhirud</dc:creator><dc:creator>Rahul  Ranjan</dc:creator><dc:creator>Bipin  Kumar</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.344.356</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-01-30; | doi:10.3844/jcssp.2024.344.356</dc:source>
    <dc:date>2024-01-30</dc:date>
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