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<title>Volume 20, Issue 10 (2024) | Journal of Computer Science</title>
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    <title><![CDATA[IoT-Based Technology Solution for Monitoring Small Breed Cardiac Dogs with Heart Disease]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.1166.1175</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 22 July 2024; <a href="https://thescipub.com/jcs/jcssp.2024.1166.1175">doi:10.3844/jcssp.2024.1166.1175</a></p>Caring for geriatric small-breed dogs with heart disease from home is a challenge due to the lack of technological tools available in the market, specifically in South America. This lack limits the qu...]]></content:encoded>
    <dc:title><![CDATA[IoT-Based Technology Solution for Monitoring Small Breed Cardiac Dogs with Heart Disease]]></dc:title><dc:creator>Jeremias  Evangelista</dc:creator><dc:creator>Carlos  Izarra</dc:creator><dc:creator>José Luis Castillo-Sequera</dc:creator><dc:creator>Lenis  Wong</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.1166.1175</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-07-22; | doi:10.3844/jcssp.2024.1166.1175</dc:source>
    <dc:date>2024-07-22</dc:date>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.1176.1184">
    <title><![CDATA[Design and Development of an Automatic Penetration Test Generation Methodology for Security of Web Applications]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.1176.1184</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 July 2024; <a href="https://thescipub.com/jcs/jcssp.2024.1176.1184">doi:10.3844/jcssp.2024.1176.1184</a></p>In today's world, web application security is becoming more crucial. Web applications frequently hold sensitive data, which might be compromised if it were to fall into the hands of a hostile attacker...]]></content:encoded>
    <dc:title><![CDATA[Design and Development of an Automatic Penetration Test Generation Methodology for Security of Web Applications]]></dc:title><dc:creator>Shilpa R. G.</dc:creator><dc:creator>Pushphavathi T. P.</dc:creator><dc:creator>Murthy P. V. R.</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.1176.1184</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-07-30; | doi:10.3844/jcssp.2024.1176.1184</dc:source>
    <dc:date>2024-07-30</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.1176.1184</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.1185.1194">
    <title><![CDATA[Rapid Prototyping as a Low-Cost Push Factor to Promote the Adoption of IoT Technology in the Healthcare: A Case Study]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.1185.1194</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 26 July 2024; <a href="https://thescipub.com/jcs/jcssp.2024.1185.1194">doi:10.3844/jcssp.2024.1185.1194</a></p>The increasing demographic aging of people in most countries all over the world, raises the issue of continuously monitoring their health status. At present days there is a big mismatch between the pr...]]></content:encoded>
    <dc:title><![CDATA[Rapid Prototyping as a Low-Cost Push Factor to Promote the Adoption of IoT Technology in the Healthcare: A Case Study]]></dc:title><dc:creator>Paolino  Di Felice</dc:creator><dc:creator>Gaetanino  Paolone</dc:creator><dc:creator>Ernano  Scalzone</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.1185.1194</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-07-26; | doi:10.3844/jcssp.2024.1185.1194</dc:source>
    <dc:date>2024-07-26</dc:date>
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    <prism:doi>10.3844/jcssp.2024.1185.1194</prism:doi>
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    <title><![CDATA[Aspect Based Sentiment Analysis Using Self-Attention Based LSTM Model with Word Embedding]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.1195.1202</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 29 July 2024; <a href="https://thescipub.com/jcs/jcssp.2024.1195.1202">doi:10.3844/jcssp.2024.1195.1202</a></p>Sentiment analysis is in advance more attention for research due to incremental convention in affairs of state, online marketing and social networking. Users afford their opinions for exacting object ...]]></content:encoded>
    <dc:title><![CDATA[Aspect Based Sentiment Analysis Using Self-Attention Based LSTM Model with Word Embedding]]></dc:title><dc:creator>Vimalkumar B. Vaghela</dc:creator><dc:creator>ZishanHaider Y. Noorani</dc:creator><dc:creator>Kalpesh  Patel</dc:creator><dc:creator>Pragneshkumar G. Patel</dc:creator><dc:creator>Hitesh D. Rajput</dc:creator><dc:creator>Maitrik  Shah</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.1195.1202</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-07-29; | doi:10.3844/jcssp.2024.1195.1202</dc:source>
    <dc:date>2024-07-29</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.1195.1202</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.1203.1213">
    <title><![CDATA[Crime Rate Analysis and Mapping from Socio-Economic Data Using Deep Neural Networks]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.1203.1213</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 17 August 2024; <a href="https://thescipub.com/jcs/jcssp.2024.1203.1213">doi:10.3844/jcssp.2024.1203.1213</a></p>Crime prediction is the attempt to identify and mitigate future criminal activity. Crime is typically "unpredictable"; it cannot be predicted in advance. Addressing the roots of crime has long been a ...]]></content:encoded>
    <dc:title><![CDATA[Crime Rate Analysis and Mapping from Socio-Economic Data Using Deep Neural Networks]]></dc:title><dc:creator>Santhosh  Sankara</dc:creator><dc:creator>Nadeson  Sugitha</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.1203.1213</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-08-17; | doi:10.3844/jcssp.2024.1203.1213</dc:source>
    <dc:date>2024-08-17</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.1203.1213</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2024.1203.1213</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.1214.1221">
    <title><![CDATA[A Nested Digital Watermarking Scheme Using GARN with DWT]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.1214.1221</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 July 2024; <a href="https://thescipub.com/jcs/jcssp.2024.1214.1221">doi:10.3844/jcssp.2024.1214.1221</a></p>Copyright infringement is undoubtedly one of the major challenges in the film and TV industries over the years but has become even more pervasive lately as a result of technological advancement. This ...]]></content:encoded>
    <dc:title><![CDATA[A Nested Digital Watermarking Scheme Using GARN with DWT]]></dc:title><dc:creator>Edward Yellakour Baagyere</dc:creator><dc:creator>Peter Awonnatemi Agbedemnab</dc:creator><dc:creator>Mohammed  Akolgo</dc:creator><dc:creator>Strato Angsoteng Bayitaa</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.1214.1221</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-07-30; | doi:10.3844/jcssp.2024.1214.1221</dc:source>
    <dc:date>2024-07-30</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.1214.1221</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2024.1214.1221</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.1222.1230">
    <title><![CDATA[Sales Forecasting Models: Comparison between ARIMA, LSTM and Prophet]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.1222.1230</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 1 August 2024; <a href="https://thescipub.com/jcs/jcssp.2024.1222.1230">doi:10.3844/jcssp.2024.1222.1230</a></p>Sales forecasting is crucial for business planning and resource allocation. Data-driven approaches have become popular in this field. This study compares the performance of three forecasting models: A...]]></content:encoded>
    <dc:title><![CDATA[Sales Forecasting Models: Comparison between ARIMA, LSTM and Prophet]]></dc:title><dc:creator>Dmitry  Brykin</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.1222.1230</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-08-01; | doi:10.3844/jcssp.2024.1222.1230</dc:source>
    <dc:date>2024-08-01</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.1222.1230</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2024.1222.1230</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.1231.1242">
    <title><![CDATA[Swot Analysis of Virtual Reality Application in Architecture and Construction]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.1231.1242</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 1 August 2024; <a href="https://thescipub.com/jcs/jcssp.2024.1231.1242">doi:10.3844/jcssp.2024.1231.1242</a></p>Virtual reality has become more and more recognized and applied in architecture and construction during the past decade. Its ability to create simulated 3-dimensional environments significantly facili...]]></content:encoded>
    <dc:title><![CDATA[Swot Analysis of Virtual Reality Application in Architecture and Construction]]></dc:title><dc:creator>Genoveva  Veble</dc:creator><dc:creator>Andrija  Bernik</dc:creator><dc:creator>Andrej  Čep</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.1231.1242</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-08-01; | doi:10.3844/jcssp.2024.1231.1242</dc:source>
    <dc:date>2024-08-01</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.1231.1242</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2024.1231.1242</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.1243.1250">
    <title><![CDATA[Lung Cancer Detection Using Regularized Extreme Learning Machine and PCA Features]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.1243.1250</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 5 August 2024; <a href="https://thescipub.com/jcs/jcssp.2024.1243.1250">doi:10.3844/jcssp.2024.1243.1250</a></p>When finding abnormalities in target images is time-sensitive, as it is with many cancer tumors, image processing techniques have recently found widespread use across various medical industries to imp...]]></content:encoded>
    <dc:title><![CDATA[Lung Cancer Detection Using Regularized Extreme Learning Machine and PCA Features]]></dc:title><dc:creator>K.  Kavitha</dc:creator><dc:creator>Dr. V. Saravana Kumar</dc:creator><dc:creator>V.  Bhoopathy</dc:creator><dc:creator>Dhanalakshmi  S.</dc:creator><dc:creator>Syed Arfath Ahmed</dc:creator><dc:creator>N.  Valarmathi</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.1243.1250</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-08-05; | doi:10.3844/jcssp.2024.1243.1250</dc:source>
    <dc:date>2024-08-05</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.1243.1250</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2024.1243.1250</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.1251.1262">
    <title><![CDATA[Big Data Framework for Predicting Infectious Diseases to Improve Healthcare by Discovering New Symptom Patterns]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.1251.1262</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 2 August 2024; <a href="https://thescipub.com/jcs/jcssp.2024.1251.1262">doi:10.3844/jcssp.2024.1251.1262</a></p>The utilization of big data in infectious disease control represents a captivating opportunity, as these novel data streams offer the potential to enhance the timeliness of preventive measures. Variou...]]></content:encoded>
    <dc:title><![CDATA[Big Data Framework for Predicting Infectious Diseases to Improve Healthcare by Discovering New Symptom Patterns]]></dc:title><dc:creator>Amal Mohamed Mounir</dc:creator><dc:creator>Mohamed Ibrahim Marie</dc:creator><dc:creator>Laila  Abd-Elhamid</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.1251.1262</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-08-02; | doi:10.3844/jcssp.2024.1251.1262</dc:source>
    <dc:date>2024-08-02</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.1251.1262</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2024.1251.1262</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.1263.1269">
    <title><![CDATA[p ≠ np: The Set of Deterministic Problems that are Solvable in Polynomial Time is Unequal to the Set of Non-Deterministic Problems that are Solvable in Polynomial Time]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.1263.1269</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 8 August 2024; <a href="https://thescipub.com/jcs/jcssp.2024.1263.1269">doi:10.3844/jcssp.2024.1263.1269</a></p>This study constructs a solution to the “p vs. np” problem using complexity theory. We show through counterexamples that p ≠ np and formalize the two sets using stochastic, probabilistic and non...]]></content:encoded>
    <dc:title><![CDATA[p ≠ np: The Set of Deterministic Problems that are Solvable in Polynomial Time is Unequal to the Set of Non-Deterministic Problems that are Solvable in Polynomial Time]]></dc:title><dc:creator>Andres  Boldori</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.1263.1269</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-08-08; | doi:10.3844/jcssp.2024.1263.1269</dc:source>
    <dc:date>2024-08-08</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.1263.1269</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.1270.1280">
    <title><![CDATA[Epileptic Seizure Detection Using Integrated Decomposed Features from EEG Signal]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.1270.1280</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 8 August 2024; <a href="https://thescipub.com/jcs/jcssp.2024.1270.1280">doi:10.3844/jcssp.2024.1270.1280</a></p>The root cause of the seizure is a sudden abnormal excessive electrical discharge in the brain and it is an Epileptic Seizure (ES) when such abnormal electrical activity arises particularly for epilep...]]></content:encoded>
    <dc:title><![CDATA[Epileptic Seizure Detection Using Integrated Decomposed Features from EEG Signal]]></dc:title><dc:creator>Shupta  Das</dc:creator><dc:creator>Suraiya Akter Mumu</dc:creator><dc:creator>M. A. H.  Akhand</dc:creator><dc:creator>Md Abdus Samad Kamal</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.1270.1280</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-08-08; | doi:10.3844/jcssp.2024.1270.1280</dc:source>
    <dc:date>2024-08-08</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.1270.1280</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.1281.1290">
    <title><![CDATA[A Deep Ensemble Framework for DDoS Attack Recognition and Mitigation in Cloud SDN Environment]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.1281.1290</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 5 August 2024; <a href="https://thescipub.com/jcs/jcssp.2024.1281.1290">doi:10.3844/jcssp.2024.1281.1290</a></p>Much research has been done in the recent past on the absolute shift of Internet infrastructure in order to make it more significantly programmable, configurable and make it more conveniently feasible...]]></content:encoded>
    <dc:title><![CDATA[A Deep Ensemble Framework for DDoS Attack Recognition and Mitigation in Cloud SDN Environment]]></dc:title><dc:creator>S. Annie Christila</dc:creator><dc:creator>S. Annie Christila</dc:creator><dc:creator>R.  Sivakumar</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.1281.1290</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-08-05; | doi:10.3844/jcssp.2024.1281.1290</dc:source>
    <dc:date>2024-08-05</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.1281.1290</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.1291.1309">
    <title><![CDATA[Economic Theory and Machine Learning Integration in Asset Pricing and Portfolio Optimization: A Bibliometric Analysis and Conceptual Framework]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.1291.1309</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 7 August 2024; <a href="https://thescipub.com/jcs/jcssp.2024.1291.1309">doi:10.3844/jcssp.2024.1291.1309</a></p>The integration of Machine Learning (ML) with economic theory has transformed financial market analysis, particularly in asset pricing and portfolio optimization. This study synthesizes existing resea...]]></content:encoded>
    <dc:title><![CDATA[Economic Theory and Machine Learning Integration in Asset Pricing and Portfolio Optimization: A Bibliometric Analysis and Conceptual Framework]]></dc:title><dc:creator>Patrick Kevin Aritonang</dc:creator><dc:creator>Sudarso Kaderi Wiryono</dc:creator><dc:creator>Taufik  Faturohman</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.1291.1309</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-08-07; | doi:10.3844/jcssp.2024.1291.1309</dc:source>
    <dc:date>2024-08-07</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.1291.1309</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2024.1291.1309</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.1310.1321">
    <title><![CDATA[Performance Analysis of Garbage Classification Using Balanced and Unbalanced Dataset with EfficientNetV2B1 Architecture]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.1310.1321</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 27 August 2024; <a href="https://thescipub.com/jcs/jcssp.2024.1310.1321">doi:10.3844/jcssp.2024.1310.1321</a></p>This research concentrates on EfficientNetV2B1 deep learning model to classify garbage collection tasks, with both balanced and unbalanced dataset configurations. The dataset includes 7,260 images for...]]></content:encoded>
    <dc:title><![CDATA[Performance Analysis of Garbage Classification Using Balanced and Unbalanced Dataset with EfficientNetV2B1 Architecture]]></dc:title><dc:creator>Retinderdeep  Singh</dc:creator><dc:creator>Chander  Prabha</dc:creator><dc:creator>Ayman  Noor</dc:creator><dc:creator>Mohammad Zubair Khan</dc:creator><dc:creator>Prakash  Srivastava</dc:creator><dc:creator>Gurjot  Kaur</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.1310.1321</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-08-27; | doi:10.3844/jcssp.2024.1310.1321</dc:source>
    <dc:date>2024-08-27</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.1310.1321</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2024.1310.1321</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.1322.1329">
    <title><![CDATA[Minimising Energy Consumption in WSN-IoT Networks by Focusing on Quality of Service]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.1322.1329</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 13 August 2024; <a href="https://thescipub.com/jcs/jcssp.2024.1322.1329">doi:10.3844/jcssp.2024.1322.1329</a></p>IoT networks are low-powered networks and resource allocation and efficient utilization are critical concerns. Network resources are allocated to the intermediate nodes to perform the various operatio...]]></content:encoded>
    <dc:title><![CDATA[Minimising Energy Consumption in WSN-IoT Networks by Focusing on Quality of Service]]></dc:title><dc:creator>  Anuradha</dc:creator><dc:creator>Tarun  Gulati</dc:creator><dc:creator>Rajbhupinder  Kaur</dc:creator><dc:creator>Zatin  Gupta</dc:creator><dc:creator>Amit Kumar Bindal</dc:creator><dc:creator>Garima  Singh</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.1322.1329</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-08-13; | doi:10.3844/jcssp.2024.1322.1329</dc:source>
    <dc:date>2024-08-13</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.1322.1329</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2024.1322.1329</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.1330.1338">
    <title><![CDATA[An Approach to Information Security Based on the Legal Basis for an Organization in Ecuador]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.1330.1338</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 18 August 2024; <a href="https://thescipub.com/jcs/jcssp.2024.1330.1338">doi:10.3844/jcssp.2024.1330.1338</a></p>Information security issues persist at both technical and legal levels, among others. One of the main causes in Ecuador is the lack of an adequate legal framework for the field of information and comm...]]></content:encoded>
    <dc:title><![CDATA[An Approach to Information Security Based on the Legal Basis for an Organization in Ecuador]]></dc:title><dc:creator>Diego Gustavo Andrade Armas</dc:creator><dc:creator>Segundo Moisés Toapanta</dc:creator><dc:creator>Eriannys Zharayth Gómez Díaz</dc:creator><dc:creator>José Antonio Orizaga Trejo</dc:creator><dc:creator>Roció Maciel Arellano</dc:creator><dc:creator>María Mercedes Baño Hifóng</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.1330.1338</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-08-18; | doi:10.3844/jcssp.2024.1330.1338</dc:source>
    <dc:date>2024-08-18</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.1330.1338</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2024.1330.1338</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.1339.1348">
    <title><![CDATA[Multimodal Face Expression Recognition Using Parametric Exponential Linear Unit-Long Short-Term Memory]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.1339.1348</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 17 August 2024; <a href="https://thescipub.com/jcs/jcssp.2024.1339.1348">doi:10.3844/jcssp.2024.1339.1348</a></p>Multimodal facial expression recognition combines information from multiple modalities of audio and video to achieve the required accuracy and robustness. By integrating different data sources, multim...]]></content:encoded>
    <dc:title><![CDATA[Multimodal Face Expression Recognition Using Parametric Exponential Linear Unit-Long Short-Term Memory]]></dc:title><dc:creator>Kampa Ratna Babu</dc:creator><dc:creator>Akula  Suneetha</dc:creator><dc:creator>Kampa Kanthi Kumar</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.1339.1348</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-08-17; | doi:10.3844/jcssp.2024.1339.1348</dc:source>
    <dc:date>2024-08-17</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.1339.1348</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2024.1339.1348</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.1349.1356">
    <title><![CDATA[Suicide Ideation and Risk Detection from Social Media Using GPT Models]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.1349.1356</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 26 August 2024; <a href="https://thescipub.com/jcs/jcssp.2024.1349.1356">doi:10.3844/jcssp.2024.1349.1356</a></p>As a reason for the sensitiveness of suicide ideation and its considerable impact on people's lives, the demand to treat and prevent the suicide ideation issue has become an obligation. Suicide ideati...]]></content:encoded>
    <dc:title><![CDATA[Suicide Ideation and Risk Detection from Social Media Using GPT Models]]></dc:title><dc:creator>Sara  Lasri</dc:creator><dc:creator>El Habib  Nfaoui</dc:creator><dc:creator>Karima  Mrizik</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.1349.1356</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-08-26; | doi:10.3844/jcssp.2024.1349.1356</dc:source>
    <dc:date>2024-08-26</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.1349.1356</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2024.1349.1356</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2024.1357.1375">
    <title><![CDATA[Improved SVM with Hyperparameter Tuning for Fake News Detection]]></title>
    <link>https://thescipub.com/jcs/jcssp.2024.1357.1375</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 28 August 2024; <a href="https://thescipub.com/jcs/jcssp.2024.1357.1375">doi:10.3844/jcssp.2024.1357.1375</a></p>In today’s digital age, accessing information has become effortless. An abundance of resources is available online, from trustworthy news outlets providing factual information to unverified opinions...]]></content:encoded>
    <dc:title><![CDATA[Improved SVM with Hyperparameter Tuning for Fake News Detection]]></dc:title><dc:creator>Atcharaporn  Nachaithong</dc:creator><dc:creator>Kittipol  Wisaeng</dc:creator><dc:identifier>doi:10.3844/jcssp.2024.1357.1375</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2024-08-28; | doi:10.3844/jcssp.2024.1357.1375</dc:source>
    <dc:date>2024-08-28</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2024.1357.1375</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2024.1357.1375</prism:url>
    </item></rdf:RDF>