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<title>Volume 21, Issue 5 (2025) | Journal of Computer Science</title>
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    <title><![CDATA[Methodological Approach to Developing a Model of Interference-Free Processing of Multichannel Records of the Electrical Cardiological Impulse to Determine Episodes of Cardiac Muscle Ischemia]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 14 April 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1003.1014">doi:10.3844/jcssp.2025.1003.1014</a></p>This study considered a set of topical issues aimed at improving the methodology of the early recognition of episodes of myocardial ischemia. It aims to solve a set of problems in the substantiation a...]]></content:encoded>
    <dc:title><![CDATA[Methodological Approach to Developing a Model of Interference-Free Processing of Multichannel Records of the Electrical Cardiological Impulse to Determine Episodes of Cardiac Muscle Ischemia]]></dc:title><dc:creator>Sergey Alexandrovich Sheptunov</dc:creator><dc:creator>Alexander Nikolaevich Muranov</dc:creator><dc:creator>Abas Khasanovich Lampezhev</dc:creator><dc:creator>Tagirbek Gaidarbekovich Aslanov</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1003.1014</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-04-14; | doi:10.3844/jcssp.2025.1003.1014</dc:source>
    <dc:date>2025-04-14</dc:date>
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    <title><![CDATA[Interactivity in VR Therapy: Assessing Efficacy Across Acrophobia Severity]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 16 April 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1015.1027">doi:10.3844/jcssp.2025.1015.1027</a></p>Virtual Reality (VR) and Artificial Intelligence (AI) have gained popularity in medical treatments, including for acrophobia- a common but often untreated fear of heights. Traditional therapies are of...]]></content:encoded>
    <dc:title><![CDATA[Interactivity in VR Therapy: Assessing Efficacy Across Acrophobia Severity]]></dc:title><dc:creator>Chiew Mei Chan</dc:creator><dc:creator>Soo See Chai</dc:creator><dc:creator>Kok Luong Goh</dc:creator><dc:creator>Sze Kiat Sim</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1015.1027</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-04-16; | doi:10.3844/jcssp.2025.1015.1027</dc:source>
    <dc:date>2025-04-16</dc:date>
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    <prism:doi>10.3844/jcssp.2025.1015.1027</prism:doi>
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    <title><![CDATA[Optimizing KNN for Face Recognition and Location Detection in Mobile Employee Attendance Systems Using Machine Learning]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1028.1036</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 14 April 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1028.1036">doi:10.3844/jcssp.2025.1028.1036</a></p>Employee attendance is critical to company operations, particularly for firms involved in ATM installations collaborating with banks. An effective attendance system enables bank vendors to verify the ...]]></content:encoded>
    <dc:title><![CDATA[Optimizing KNN for Face Recognition and Location Detection in Mobile Employee Attendance Systems Using Machine Learning]]></dc:title><dc:creator>    Painem</dc:creator><dc:creator>Hari   Soetanto</dc:creator><dc:creator>Achmad   Solichin</dc:creator><dc:creator>Ibnu   Ramadhan</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1028.1036</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-04-14; | doi:10.3844/jcssp.2025.1028.1036</dc:source>
    <dc:date>2025-04-14</dc:date>
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    <title><![CDATA[Research on Deep Neural Network for Afaan-Oromo Language Text-to-Speech Synthesis]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1037.1048</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 14 April 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1037.1048">doi:10.3844/jcssp.2025.1037.1048</a></p>Text-to-speech synthesis is the automatic translation of unlimited natural language sentences from Text to spoken form that closely mimics the spoken form of the same Text by a native speaker of the l...]]></content:encoded>
    <dc:title><![CDATA[Research on Deep Neural Network for Afaan-Oromo Language Text-to-Speech Synthesis]]></dc:title><dc:creator>Diriba Gichile Rundasa</dc:creator><dc:creator>Arulmurugan   Ramu</dc:creator><dc:creator>Teshome Debushe Adugna</dc:creator><dc:creator>Chala Sembeta Teshome</dc:creator><dc:creator>Desalegn   Tasew</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1037.1048</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-04-14; | doi:10.3844/jcssp.2025.1037.1048</dc:source>
    <dc:date>2025-04-14</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1037.1048</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1049.1058">
    <title><![CDATA[Sentiment Analysis Using Light Weight - Gradient Boosting Machine based Feature Selection]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1049.1058</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 26 May 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1049.1058">doi:10.3844/jcssp.2025.1049.1058</a></p>Sentiment analysis is a significant task in Natural Language Processing (NLP) that differentiates the emotions and opinions expressed in text or reviews. The sentiment analysis is challenging due to t...]]></content:encoded>
    <dc:title><![CDATA[Sentiment Analysis Using Light Weight - Gradient Boosting Machine based Feature Selection]]></dc:title><dc:creator>Bikku  Ramavath</dc:creator><dc:creator>Srikanth  Kadainti</dc:creator><dc:creator>Nemani  Subash</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1049.1058</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-05-26; | doi:10.3844/jcssp.2025.1049.1058</dc:source>
    <dc:date>2025-05-26</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1049.1058</prism:doi>
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    <title><![CDATA[Implementation of Single Candidate Loss Optimization Algorithm for Loss Optimization of Bhojpuri-English Machine Translation Model]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1059.1070</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 17 April 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1059.1070">doi:10.3844/jcssp.2025.1059.1070</a></p>Machine translation of low-resource Indian languages is necessary as most of the regions still know and speak their specific dialects and are still not comfortable understanding the English language. ...]]></content:encoded>
    <dc:title><![CDATA[Implementation of Single Candidate Loss Optimization Algorithm for Loss Optimization of Bhojpuri-English Machine Translation Model]]></dc:title><dc:creator>Rituraj  Dixit</dc:creator><dc:creator>Sarabjeet  Singh Bedi</dc:creator><dc:creator>Ibrahim  Aljubayri</dc:creator><dc:creator>Mohammad Zubair Khan</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1059.1070</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-04-17; | doi:10.3844/jcssp.2025.1059.1070</dc:source>
    <dc:date>2025-04-17</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1059.1070</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1071.1082">
    <title><![CDATA[Strengthening Image Security with Unimodular Hill Cipher and Advanced Encryption Standard]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1071.1082</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 22 April 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1071.1082">doi:10.3844/jcssp.2025.1071.1082</a></p>Digital data security has become increasingly important with the growth of digital image usage, which often contains sensitive information. This study aims to enhance the security of digital images by...]]></content:encoded>
    <dc:title><![CDATA[Strengthening Image Security with Unimodular Hill Cipher and Advanced Encryption Standard]]></dc:title><dc:creator>Samsul   Arifin</dc:creator><dc:creator>Dwi   Wijonarko</dc:creator><dc:creator>Monica Mayeni Manurung</dc:creator><dc:creator>    Roni</dc:creator><dc:creator>Puguh Wahyu Prasetyo</dc:creator><dc:creator>Fabian Surya Pramudya</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1071.1082</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-04-22; | doi:10.3844/jcssp.2025.1071.1082</dc:source>
    <dc:date>2025-04-22</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1071.1082</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1083.1098">
    <title><![CDATA[Deep Learning in Early Alzheimer’s Disease’s Detection: A Comprehensive Survey of Classification, Segmentation and Feature Extraction Methods]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1083.1098</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 26 April 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1083.1098">doi:10.3844/jcssp.2025.1083.1098</a></p>Alzheimer’s disease is a deadly neurological condition, impairing important memory and brain functions. Alzheimer’s disease promotes brain shrinkage, ultimately leading to dementia. Dementia diagn...]]></content:encoded>
    <dc:title><![CDATA[Deep Learning in Early Alzheimer’s Disease’s Detection: A Comprehensive Survey of Classification, Segmentation and Feature Extraction Methods]]></dc:title><dc:creator>Rubab  Hafeez</dc:creator><dc:creator>Sadia  Waheed</dc:creator><dc:creator>Syeda Aleena Naqvi</dc:creator><dc:creator>Fahad  Maqbool</dc:creator><dc:creator>Amna  Sarwar</dc:creator><dc:creator>Sajjad  Saleem</dc:creator><dc:creator>Kamran  Siddique</dc:creator><dc:creator>Zahid  Akhtar</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1083.1098</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-04-26; | doi:10.3844/jcssp.2025.1083.1098</dc:source>
    <dc:date>2025-04-26</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1083.1098</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1099.1112">
    <title><![CDATA[One Time Password (OTP) Solution for Two Factor Authentication: A Practical Case Study]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1099.1112</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 26 April 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1099.1112">doi:10.3844/jcssp.2025.1099.1112</a></p>Currently, static passwords are no longer secure, they expose accounts and data, more advanced and sophisticated approaches are required to guarantee user authentication and operations in digital syst...]]></content:encoded>
    <dc:title><![CDATA[One Time Password (OTP) Solution for Two Factor Authentication: A Practical Case Study]]></dc:title><dc:creator>Oscar  Efrén Acosta Mayorga</dc:creator><dc:creator>Sang Guun Yoo</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1099.1112</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-04-26; | doi:10.3844/jcssp.2025.1099.1112</dc:source>
    <dc:date>2025-04-26</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1099.1112</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1113.1128">
    <title><![CDATA[A Conceptual Framework for Efficient and Sustainable Pruning Techniques in Deep Learning Models]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1113.1128</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 26 April 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1113.1128">doi:10.3844/jcssp.2025.1113.1128</a></p>This research paper proposes a conceptual framework and optimization algorithm for pruning techniques in deep learning models, its focus is on key challenges such as model size, computational efficien...]]></content:encoded>
    <dc:title><![CDATA[A Conceptual Framework for Efficient and Sustainable Pruning Techniques in Deep Learning Models]]></dc:title><dc:creator>Nyalalani  Smarts</dc:creator><dc:creator>Rajalakshm  Selvaraj </dc:creator><dc:creator>Venumadhav  Kuthadi</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1113.1128</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-04-26; | doi:10.3844/jcssp.2025.1113.1128</dc:source>
    <dc:date>2025-04-26</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1113.1128</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1129.1139">
    <title><![CDATA[Diverse Trajectory on Consumer’s Product Feedback Analysis by Confidence Interval]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1129.1139</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 28 April 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1129.1139">doi:10.3844/jcssp.2025.1129.1139</a></p>The current investigation addresses the possibilities and limitations of the sentiment analysis of consumer remarks in the context of economic needs. It makes it easier for businesses to comprehend ho...]]></content:encoded>
    <dc:title><![CDATA[Diverse Trajectory on Consumer’s Product Feedback Analysis by Confidence Interval]]></dc:title><dc:creator>Vithya   Ganesan</dc:creator><dc:creator>Kirubakaran   Namaskaram</dc:creator><dc:creator>Viriyala Sri Anima Padmini</dc:creator><dc:creator>Subrata   Chowdhury</dc:creator><dc:creator>Hariharan   Shanmugasundaram</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1129.1139</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-04-28; | doi:10.3844/jcssp.2025.1129.1139</dc:source>
    <dc:date>2025-04-28</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1129.1139</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.1129.1139</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1140.1155">
    <title><![CDATA[Intelligent Software Testing for Test Case Analysis Framework Using ChatGPT with Natural Language Processing and Deep Learning Integration]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1140.1155</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 1 May 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1140.1155">doi:10.3844/jcssp.2025.1140.1155</a></p>Effective testing scenarios are necessary to guarantee the dependability and Caliber of software. Conventional techniques for creating these scenarios frequently involve a great deal of manual labor a...]]></content:encoded>
    <dc:title><![CDATA[Intelligent Software Testing for Test Case Analysis Framework Using ChatGPT with Natural Language Processing and Deep Learning Integration]]></dc:title><dc:creator>Alaa  Najmi</dc:creator><dc:creator>Mohamed  El-Dosuky</dc:creator><dc:creator>Mohamed  El-Dosuky</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1140.1155</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-05-01; | doi:10.3844/jcssp.2025.1140.1155</dc:source>
    <dc:date>2025-05-01</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1140.1155</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1156.1167">
    <title><![CDATA[XAI_MLPCNN: A Novel Explainable AI-Based Deep Learning Framework for Stress Identification]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1156.1167</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 6 May 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1156.1167">doi:10.3844/jcssp.2025.1156.1167</a></p>Over the past ten years, there has been a lot of emphasis focusedon the development of Artificial Intelligence (AI) and Machine Learning(ML)-based mental health treatments. To increase practitioners' ...]]></content:encoded>
    <dc:title><![CDATA[XAI_MLPCNN: A Novel Explainable AI-Based Deep Learning Framework for Stress Identification]]></dc:title><dc:creator>Fateh Bahadur Kunwar</dc:creator><dc:creator>Rakesh Kumar Yadav</dc:creator><dc:creator>Hitendra   Singh</dc:creator><dc:creator>Nitin   Tripathi</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1156.1167</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-05-06; | doi:10.3844/jcssp.2025.1156.1167</dc:source>
    <dc:date>2025-05-06</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1156.1167</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1168.1175">
    <title><![CDATA[Apriori-Based Analysis of Website Phishing]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1168.1175</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 7 May 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1168.1175">doi:10.3844/jcssp.2025.1168.1175</a></p>Phishing attacks put users' sensitive information at serious risk and are a rising concern in cybersecurity. In order to minimize the possible damage brought on by these assaults, it is essential to d...]]></content:encoded>
    <dc:title><![CDATA[Apriori-Based Analysis of Website Phishing]]></dc:title><dc:creator>Rene Clint Gortifacion</dc:creator><dc:creator>Rhoderick   Malangsa</dc:creator><dc:creator>Adelfa   Diola</dc:creator><dc:creator>Tamar Mejia Junior</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1168.1175</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-05-07; | doi:10.3844/jcssp.2025.1168.1175</dc:source>
    <dc:date>2025-05-07</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1168.1175</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.1168.1175</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1176.1186">
    <title><![CDATA[Enhancing Indian Language Speech Recognition Systems with Language-Independent Phonetic Script: An Experimental Exploration]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1176.1186</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 9 May 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1176.1186">doi:10.3844/jcssp.2025.1176.1186</a></p>India has a distinct linguistic profile that makes it extremely challenging to train Automatic Speech Recognition (ASR) systems correctly because most Indian languages have limited training material a...]]></content:encoded>
    <dc:title><![CDATA[Enhancing Indian Language Speech Recognition Systems with Language-Independent Phonetic Script: An Experimental Exploration]]></dc:title><dc:creator>Jose   Stephan</dc:creator><dc:creator>Muthayyan Kamalam Jayakumar</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1176.1186</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-05-09; | doi:10.3844/jcssp.2025.1176.1186</dc:source>
    <dc:date>2025-05-09</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1176.1186</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.1176.1186</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.0.1187.1201">
    <title><![CDATA[An Adaptive Machine Learning Algorithm for Resilient Higher-Order Mutant Generation]]></title>
    <link>https://thescipub.com/jcs/jcssp.0.1187.1201</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 20 May 2025; <a href="https://thescipub.com/jcs/jcssp.0.1187.1201">doi:10.3844/jcssp.0.1187.1201</a></p>In the field of software engineering, ensuring the reliability androbustness of software is paramount, and software testing plays a criticalrole in this process. Mutation testing, a fault-based techni...]]></content:encoded>
    <dc:title><![CDATA[An Adaptive Machine Learning Algorithm for Resilient Higher-Order Mutant Generation]]></dc:title><dc:creator>Subhasish  Mohanty</dc:creator><dc:creator>Jyotirmaya  Mishra</dc:creator><dc:creator>Sudhir Kumar Mohapatra</dc:creator><dc:creator>Melashu  Amare</dc:creator><dc:creator>Aliazar Deneke Deferisha</dc:creator><dc:identifier>doi:10.3844/jcssp.0.1187.1201</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-05-20; | doi:10.3844/jcssp.0.1187.1201</dc:source>
    <dc:date>2025-05-20</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.0.1187.1201</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.0.1187.1201</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1202.1209">
    <title><![CDATA[Deep Learning-Based Approach for Identification of Potato Leaf Diseases Using Wrapper Feature Selection and Feature Concatenation]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1202.1209</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 12 May 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1202.1209">doi:10.3844/jcssp.2025.1202.1209</a></p>The potato is a widely grown crop in many regions of the world. In recent decades, potato farming has gained incredible traction in the world. Potatoes are susceptible to several illnesses that stunt ...]]></content:encoded>
    <dc:title><![CDATA[Deep Learning-Based Approach for Identification of Potato Leaf Diseases Using Wrapper Feature Selection and Feature Concatenation]]></dc:title><dc:creator>Muhammad Ahtsam Naeem</dc:creator><dc:creator>Muhammad Asim Saleem</dc:creator><dc:creator>Jarrar  Amjad</dc:creator><dc:creator>Shahzad  Akber</dc:creator><dc:creator>Sajjad  Saleem</dc:creator><dc:creator>Zahid  Akhtar</dc:creator><dc:creator>Kamran  Siddique</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1202.1209</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-05-12; | doi:10.3844/jcssp.2025.1202.1209</dc:source>
    <dc:date>2025-05-12</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1202.1209</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.1202.1209</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1210.1216">
    <title><![CDATA[Automatic Skin Lesion Diagnosis and Medical ReportGeneration Based on Image Captioning]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1210.1216</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 13 May 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1210.1216">doi:10.3844/jcssp.2025.1210.1216</a></p>Captioning or textual description of the visual content of imagesinvolves generating meaningful words and sentences to describe the contentof an image. This work lies at the crossroads of Natural Lang...]]></content:encoded>
    <dc:title><![CDATA[Automatic Skin Lesion Diagnosis and Medical ReportGeneration Based on Image Captioning]]></dc:title><dc:creator>Abdelouahed   Sabri</dc:creator><dc:creator>Chaimae   Zouitni</dc:creator><dc:creator>Hamza   El Medhoune</dc:creator><dc:creator>Abdellah   Aarab</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1210.1216</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-05-13; | doi:10.3844/jcssp.2025.1210.1216</dc:source>
    <dc:date>2025-05-13</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1210.1216</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.1210.1216</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1217.1229">
    <title><![CDATA[A Faulty Solar Panel Detecting and Mapping Method Using aDrone with RGB and Thermal Cameras in Solar Power Plant]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1217.1229</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 21 May 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1217.1229">doi:10.3844/jcssp.2025.1217.1229</a></p>A solar panel generates electricity power using the sun's rays. It isusually located on a rooftop or open field without shadow. This solar panelis hard to be tested by nonprofessionals. Therefore, we ...]]></content:encoded>
    <dc:title><![CDATA[A Faulty Solar Panel Detecting and Mapping Method Using aDrone with RGB and Thermal Cameras in Solar Power Plant]]></dc:title><dc:creator>Soobin  Jeon</dc:creator><dc:creator>Dongmahn  Seo</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1217.1229</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-05-21; | doi:10.3844/jcssp.2025.1217.1229</dc:source>
    <dc:date>2025-05-21</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1217.1229</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.1217.1229</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.1230.1241">
    <title><![CDATA[Enhancing Plant Disease Identification Through Hyperspectral Imaging and AC-FNet Framework]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.1230.1241</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 21 May 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1230.1241">doi:10.3844/jcssp.2025.1230.1241</a></p>The precise identification of plant diseases is essential for optimizing agricultural practices. The impact of these diseases on food production often leads to significant revenue loss. Detecting dise...]]></content:encoded>
    <dc:title><![CDATA[Enhancing Plant Disease Identification Through Hyperspectral Imaging and AC-FNet Framework]]></dc:title><dc:creator>Dhason Lita Pansy</dc:creator><dc:creator>Malaichamy  Murali</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.1230.1241</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-05-21; | doi:10.3844/jcssp.2025.1230.1241</dc:source>
    <dc:date>2025-05-21</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.1230.1241</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.1230.1241</prism:url>
    </item></rdf:RDF>