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<title>Volume 21, Issue 9 (2025) | Journal of Computer Science</title>
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    <dc:source>Journal of Computer Science, Published online: 2025-10-10; | doi:10.3844/jcssp.2025.1983.1992</dc:source>
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    <title><![CDATA[Enhancing Image Clarity Using Adaptive Regularization]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 15 October 2025; <a href="https://thescipub.com/jcs/jcssp.2025.1993.1999">doi:10.3844/jcssp.2025.1993.1999</a></p>In many domains such as digital photography, remote sensing, and medical imaging, improving image clarity is essential. It is frequently difficult for traditional methods to strike a balance between p...]]></content:encoded>
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    <dc:source>Journal of Computer Science, Published online: 2025-10-15; | doi:10.3844/jcssp.2025.1993.1999</dc:source>
    <dc:date>2025-10-15</dc:date>
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        <![CDATA[<p>Journal of Computer Science, Published online: 16 October 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2000.2015">doi:10.3844/jcssp.2025.2000.2015</a></p>Crime news analysis is crucial for understanding criminal activity, enhancing public safety, and informing policy decisions. The exponential growth and unstructured nature of online news articles, how...]]></content:encoded>
    <dc:title><![CDATA[A Hybridized BERT-Based Approach for Crime News Collection and Classification from Online Newspapers]]></dc:title><dc:creator>Ashour  Ali</dc:creator><dc:creator>Shahrul Azman Mohd Noah</dc:creator><dc:creator>Lailatul Qadri Zakaria</dc:creator><dc:creator>Saeed Amer Al Ameri</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2000.2015</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-10-16; | doi:10.3844/jcssp.2025.2000.2015</dc:source>
    <dc:date>2025-10-16</dc:date>
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    <title><![CDATA[A Study on Factors Influencing MBA Decision After Bachelor’s Using Hybrid Model Combining ANN With Principal Component Analysis]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 13 October 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2016.2028">doi:10.3844/jcssp.2025.2016.2028</a></p>This study comprehensively examines the complex relationship between various individual characteristics and individuals’ expectations after obtaining a bachelor’s degree, particularly in determini...]]></content:encoded>
    <dc:title><![CDATA[A Study on Factors Influencing MBA Decision After Bachelor’s Using Hybrid Model Combining ANN With Principal Component Analysis]]></dc:title><dc:creator>Kittipol   Wisaeng</dc:creator><dc:creator>Benchalak   Muangmeesri</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2016.2028</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-10-13; | doi:10.3844/jcssp.2025.2016.2028</dc:source>
    <dc:date>2025-10-13</dc:date>
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    <title><![CDATA[Exploring Applications, Datasets, Algorithms, and Technologies in Satellite Image Processing]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 20 October 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2029.2048">doi:10.3844/jcssp.2025.2029.2048</a></p>Amidst an era filled with complex local and global problems, satellite data presents itself as a revolutionary tool with unmatched potential to tackle practical problems in a variety of fields. This a...]]></content:encoded>
    <dc:title><![CDATA[Exploring Applications, Datasets, Algorithms, and Technologies in Satellite Image Processing]]></dc:title><dc:creator>Bijeesh  TV</dc:creator><dc:creator>Bejoy  BJ</dc:creator><dc:creator>Michael Moses Thiruthuvanthan</dc:creator><dc:creator>Raju   G</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2029.2048</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-10-20; | doi:10.3844/jcssp.2025.2029.2048</dc:source>
    <dc:date>2025-10-20</dc:date>
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    <title><![CDATA[Hacking Back: Using Genetic Algorithms to Outsmart Hackers]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 10 October 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2049.2064">doi:10.3844/jcssp.2025.2049.2064</a></p>Web applications are widely used in today's digital landscape, necessitating robust security measures to protect against unauthorized access by malicious users. Ensuring the security of these applicat...]]></content:encoded>
    <dc:title><![CDATA[Hacking Back: Using Genetic Algorithms to Outsmart Hackers]]></dc:title><dc:creator>Ghosoun   Al Hindi</dc:creator><dc:creator>Mohammad   Alshraideh</dc:creator><dc:creator>Mohammad   Alshraideh</dc:creator><dc:creator>Abdelrahman H. Hussein</dc:creator><dc:creator>Lubna Fayez Eliyan</dc:creator><dc:creator>Arafat   Al-Dhaqm</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2049.2064</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-10-10; | doi:10.3844/jcssp.2025.2049.2064</dc:source>
    <dc:date>2025-10-10</dc:date>
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    <title><![CDATA[Early Plant Disease Detection Using Graph Isomorphic Networks: Enhancing Crop Yield Through Leaf Analysis]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2065.2073</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 15 October 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2065.2073">doi:10.3844/jcssp.2025.2065.2073</a></p>The economy of Tanzania is mostly driven by agriculture. Disease is one of the reasons that contributes to the low production of staple foods like cassava and maize, alongside climate change. Loss of ...]]></content:encoded>
    <dc:title><![CDATA[Early Plant Disease Detection Using Graph Isomorphic Networks: Enhancing Crop Yield Through Leaf Analysis]]></dc:title><dc:creator>D.  Sumathi</dc:creator><dc:creator>Sreejyothsna  Ankam</dc:creator><dc:creator>Pravin Prakash Adivarekar</dc:creator><dc:creator>Kasturi Sai Sandeep</dc:creator><dc:creator>Gomathi  R.</dc:creator><dc:creator>R.   Shobarani</dc:creator><dc:creator>S. Karpaga Iswarya</dc:creator><dc:creator>V.  Bhoopathy</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2065.2073</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-10-15; | doi:10.3844/jcssp.2025.2065.2073</dc:source>
    <dc:date>2025-10-15</dc:date>
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    <title><![CDATA[Adaptive Data Transformation for Enhanced Clustering Performance in Diagnostic Systems]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 17 October 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2074.2080">doi:10.3844/jcssp.2025.2074.2080</a></p>This paper presents an enhanced approach to the Balanced Iterative Reducing and Clustering using Hierarchies (BIRCH) algorithm, aimed at improving clustering accuracy in medical data, specifically for...]]></content:encoded>
    <dc:title><![CDATA[Adaptive Data Transformation for Enhanced Clustering Performance in Diagnostic Systems]]></dc:title><dc:creator>Mohammed Subhi Al-Batah</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2074.2080</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-10-17; | doi:10.3844/jcssp.2025.2074.2080</dc:source>
    <dc:date>2025-10-17</dc:date>
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    <title><![CDATA[Self-Supervised Contrastive Learning for Steering Angle Prediction in Autonomous Driving Simulations]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2081.2087</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 20 October 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2081.2087">doi:10.3844/jcssp.2025.2081.2087</a></p>Predicting steering angles is a crucial task in autonomous driving, with end-to-end deep learning being a widely used approach. However, such models often suffer from overfitting to learned trajectori...]]></content:encoded>
    <dc:title><![CDATA[Self-Supervised Contrastive Learning for Steering Angle Prediction in Autonomous Driving Simulations]]></dc:title><dc:creator> Maxson  Phang</dc:creator><dc:creator>Suryadiputra  Liawatimena</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2081.2087</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-10-20; | doi:10.3844/jcssp.2025.2081.2087</dc:source>
    <dc:date>2025-10-20</dc:date>
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    <title><![CDATA[Animal Health Prediction Using Hybrid KNN Based Vector Neighbor Classification Model: A Machine Learning Approach]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2088.2095</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 21 October 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2088.2095">doi:10.3844/jcssp.2025.2088.2095</a></p>Animal condition disease prediction is a crucial task in veterinary medicine, and accurate prediction can significantly improve animal health and reduce economic losses. This paper proposed a novel hy...]]></content:encoded>
    <dc:title><![CDATA[Animal Health Prediction Using Hybrid KNN Based Vector Neighbor Classification Model: A Machine Learning Approach]]></dc:title><dc:creator>J.   Rathi</dc:creator><dc:creator>A.  Sumathi</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2088.2095</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-10-21; | doi:10.3844/jcssp.2025.2088.2095</dc:source>
    <dc:date>2025-10-21</dc:date>
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    <prism:doi>10.3844/jcssp.2025.2088.2095</prism:doi>
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    <title><![CDATA[Generation Z Health Trends: Data Mining of Sleep and Lifestyle Patterns]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 19 October 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2096.2104">doi:10.3844/jcssp.2025.2096.2104</a></p>This study analyzes sleep health and lifestyle data among Generation Z using RapidMiner to identify key issues such as insomnia and stress within this demographic. The research is motivated by the inc...]]></content:encoded>
    <dc:title><![CDATA[Generation Z Health Trends: Data Mining of Sleep and Lifestyle Patterns]]></dc:title><dc:creator>Francka Sakti Lee</dc:creator><dc:creator>Johanes Fernandes Andry</dc:creator><dc:creator>Kevin  Christianto</dc:creator><dc:creator>Yunianto  Purnomo</dc:creator><dc:creator>Aziza  Chakir</dc:creator><dc:creator>Lina  Noviana</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2096.2104</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-10-19; | doi:10.3844/jcssp.2025.2096.2104</dc:source>
    <dc:date>2025-10-19</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2096.2104</prism:doi>
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    <title><![CDATA[A Secure Framework for Decentralized Digital Lockers Using Blockchain Technology]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2105.2112</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 23 October 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2105.2112">doi:10.3844/jcssp.2025.2105.2112</a></p>In the age of digital transformation, the Decentralized Digital lockers provide as an innovative combination of blockchain This paper presents a decentralized digital locker system that combines block...]]></content:encoded>
    <dc:title><![CDATA[A Secure Framework for Decentralized Digital Lockers Using Blockchain Technology]]></dc:title><dc:creator>Yassir  Farooqui</dc:creator><dc:creator>Syed Ibad Ali</dc:creator><dc:creator>Kishori  Shekokar</dc:creator><dc:creator>Praveen Kumar Patidar</dc:creator><dc:creator>Kush  Bhushanwar</dc:creator><dc:creator>Pabitra Kumar Nandi</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2105.2112</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-10-23; | doi:10.3844/jcssp.2025.2105.2112</dc:source>
    <dc:date>2025-10-23</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
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    <title><![CDATA[Unveiling Skin Cancer: A Review of Deep Learning Techniques for Detection]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2113.2128</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 23 October 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2113.2128">doi:10.3844/jcssp.2025.2113.2128</a></p>Early identification is essential for successful treatment and better patient outcomes since skin cancer is caused by damage to DNA in skin cells, which can result in genetic abnormalities and the pos...]]></content:encoded>
    <dc:title><![CDATA[Unveiling Skin Cancer: A Review of Deep Learning Techniques for Detection]]></dc:title><dc:creator>Goutham  Lal Shanmughamadom Harilal</dc:creator><dc:creator>Tamilselvi  Panneerselvam</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2113.2128</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-10-23; | doi:10.3844/jcssp.2025.2113.2128</dc:source>
    <dc:date>2025-10-23</dc:date>
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    <title><![CDATA[Leveraging Cloud Computing for Intelligent Network Management in Smart Universities]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 27 October 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2129.2141">doi:10.3844/jcssp.2025.2129.2141</a></p>Cloud computing has emerged as a transformative technology that enables users to access shared services over the Internet. Its functions include data storage, processing, and resource management throu...]]></content:encoded>
    <dc:title><![CDATA[Leveraging Cloud Computing for Intelligent Network Management in Smart Universities]]></dc:title><dc:creator>Sitthichai  Kao-Ngam</dc:creator><dc:creator>Charuay  Savithi</dc:creator><dc:creator>Naruemon  Pantucha</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2129.2141</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-10-27; | doi:10.3844/jcssp.2025.2129.2141</dc:source>
    <dc:date>2025-10-27</dc:date>
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    <prism:url>https://thescipub.com/jcs/jcssp.2025.2129.2141</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2142.2152">
    <title><![CDATA[ Adaptive Cybersecurity: Dynamically Retrainable Firewalls for Real-Time Network Protection]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2142.2152</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 7 November 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2142.2152">doi:10.3844/jcssp.2025.2142.2152</a></p>The growing complexity of cyberattacks has necessitated the evolution of firewall technologies from static models to adaptive, machine learning-driven systems. This research introduces “Dynamically ...]]></content:encoded>
    <dc:title><![CDATA[ Adaptive Cybersecurity: Dynamically Retrainable Firewalls for Real-Time Network Protection]]></dc:title><dc:creator> Sina   Ahmadi</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2142.2152</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-11-07; | doi:10.3844/jcssp.2025.2142.2152</dc:source>
    <dc:date>2025-11-07</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2142.2152</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2142.2152</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2153.2170">
    <title><![CDATA[Comparative Analysis of Classical Feature Detection Methods for UAV-Based Tomato Detection]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2153.2170</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 7 November 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2153.2170">doi:10.3844/jcssp.2025.2153.2170</a></p>Remote sensing technologies, especially Unmanned Aerial Vehicles (UAVs), become crucial for Precision Agriculture (PA) to perform different tasks such as crop detection, yield prediction, leaf disease...]]></content:encoded>
    <dc:title><![CDATA[Comparative Analysis of Classical Feature Detection Methods for UAV-Based Tomato Detection]]></dc:title><dc:creator>Muhammad Sarwar Jahan Morshed</dc:creator><dc:creator>Md. Nasim Adnan</dc:creator><dc:creator>Md. Rafiqul   Islam</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2153.2170</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-11-07; | doi:10.3844/jcssp.2025.2153.2170</dc:source>
    <dc:date>2025-11-07</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2153.2170</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2153.2170</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2171.2180">
    <title><![CDATA[Predicting Financial Statement Failure of Listed Firms in Market for Alternative Investment (mai) using Machine Learning]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2171.2180</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 24 November 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2171.2180">doi:10.3844/jcssp.2025.2171.2180</a></p>The purpose of this research is to investigate the financial ratios of companies listed on the Market for Alternative Investment (mai) in Thailand, as well as the likelihood of these companies' financ...]]></content:encoded>
    <dc:title><![CDATA[Predicting Financial Statement Failure of Listed Firms in Market for Alternative Investment (mai) using Machine Learning]]></dc:title><dc:creator>Pattanapong  Kumsin</dc:creator><dc:creator>Salakjit  Ninlaphay</dc:creator><dc:creator>Anupong  Sukprasert</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2171.2180</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-11-24; | doi:10.3844/jcssp.2025.2171.2180</dc:source>
    <dc:date>2025-11-24</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2171.2180</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2171.2180</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2181.2190">
    <title><![CDATA[A Deep Learning Approach for Telugu Domain Identification with Multichannel LSTM-CNN]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2181.2190</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 26 November 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2181.2190">doi:10.3844/jcssp.2025.2181.2190</a></p>The vast growth of textual data has ushered into the limelight, a plethora of applications in information retrieval and natural language processing (NLP). Proper extraction of information from text is...]]></content:encoded>
    <dc:title><![CDATA[A Deep Learning Approach for Telugu Domain Identification with Multichannel LSTM-CNN]]></dc:title><dc:creator>Buddha Hari Kumar</dc:creator><dc:creator>Chitra  Perumal</dc:creator><dc:creator>Inakoti Ramesh Raja</dc:creator><dc:creator>Chukka Ramesh Babu</dc:creator><dc:creator>Srinivas Rao Gorre</dc:creator><dc:creator>Santosh  Tripurana</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2181.2190</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-11-26; | doi:10.3844/jcssp.2025.2181.2190</dc:source>
    <dc:date>2025-11-26</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2181.2190</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2181.2190</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2191.2203">
    <title><![CDATA[Exploratory Data Analysis of Applications of Encryption for Netflix by ML Models]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2191.2203</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 24 November 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2191.2203">doi:10.3844/jcssp.2025.2191.2203</a></p>This study examines the performance of various machine learning algorithms in analyzing Netflix's dataset, with a focus on encryption methods used for data protection. We evaluated several models incl...]]></content:encoded>
    <dc:title><![CDATA[Exploratory Data Analysis of Applications of Encryption for Netflix by ML Models]]></dc:title><dc:creator>Ananth Maria Pushpa</dc:creator><dc:creator>Subramanian  Shanmugam</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2191.2203</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-11-24; | doi:10.3844/jcssp.2025.2191.2203</dc:source>
    <dc:date>2025-11-24</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2191.2203</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2191.2203</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2025.2204.2219">
    <title><![CDATA[Deep Learning Approaches for Early Detection of Skin Cancer Disease Detection Using Segmentation and Classification with Severity Analysis]]></title>
    <link>https://thescipub.com/jcs/jcssp.2025.2204.2219</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 24 November 2025; <a href="https://thescipub.com/jcs/jcssp.2025.2204.2219">doi:10.3844/jcssp.2025.2204.2219</a></p>The utmost prevalent type of the disease, skin cancer claims millions of lives every year, poses a serious public health threat particularly melanoma, which is often fatal if not detected early. Early...]]></content:encoded>
    <dc:title><![CDATA[Deep Learning Approaches for Early Detection of Skin Cancer Disease Detection Using Segmentation and Classification with Severity Analysis]]></dc:title><dc:creator>Punam R. Patil</dc:creator><dc:creator>Ritu  Tandon</dc:creator><dc:identifier>doi:10.3844/jcssp.2025.2204.2219</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2025-11-24; | doi:10.3844/jcssp.2025.2204.2219</dc:source>
    <dc:date>2025-11-24</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2025.2204.2219</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2025.2204.2219</prism:url>
    </item></rdf:RDF>