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<title>Volume 17, Issue 7 (2021) | Journal of Computer Science</title>
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    <title><![CDATA[Machine Learning and Deep Learning for Phishing Email Classification using One-Hot Encoding]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 23 July 2021; <a href="https://thescipub.com/jcs/jcssp.2021.610.623">doi:10.3844/jcssp.2021.610.623</a></p>Representation of text is a significant task in Natural Language Processing (NLP) and in recent years Deep Learning (DL) and Machine Learning (ML) have been widely used in various NLP tasks like topic...]]></content:encoded>
    <dc:title><![CDATA[Machine Learning and Deep Learning for Phishing Email Classification using One-Hot Encoding]]></dc:title><dc:creator>Sikha  Bagui</dc:creator><dc:creator>Debarghya  Nandi</dc:creator><dc:creator>Subhash  Bagui</dc:creator><dc:creator>Robert Jamie White</dc:creator><dc:identifier>doi:10.3844/jcssp.2021.610.623</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2021-07-23; | doi:10.3844/jcssp.2021.610.623</dc:source>
    <dc:date>2021-07-23</dc:date>
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    <title><![CDATA[Impact of Design Principles and Patterns on Software Flexibility: An Experimental Evaluation Using Flexible Point (FXP)]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 31 July 2021; <a href="https://thescipub.com/jcs/jcssp.2021.624.638">doi:10.3844/jcssp.2021.624.638</a></p>Software flexibility is a crucial factor in designing and developing software as it reflects its capability to adapt to changes. It is a topic that has been discussed for a very long time which indica...]]></content:encoded>
    <dc:title><![CDATA[Impact of Design Principles and Patterns on Software Flexibility: An Experimental Evaluation Using Flexible Point (FXP)]]></dc:title><dc:creator>Muhammad Ehsan Rana</dc:creator><dc:creator>Eddy  Khonica</dc:creator><dc:identifier>doi:10.3844/jcssp.2021.624.638</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2021-07-31; | doi:10.3844/jcssp.2021.624.638</dc:source>
    <dc:date>2021-07-31</dc:date>
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    <title><![CDATA[Face Verification for Person Re-Identification from Surveillance Camera and Drone-based Videos]]></title>
    <link>https://thescipub.com/jcs/jcssp.2021.639.656</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 28 July 2021; <a href="https://thescipub.com/jcs/jcssp.2021.639.656">doi:10.3844/jcssp.2021.639.656</a></p>Person re-identification in surveillance camera videos is attracting widespread interest due to its increasing number of applications. It is being applied in the field of security, healthcare, product...]]></content:encoded>
    <dc:title><![CDATA[Face Verification for Person Re-Identification from Surveillance Camera and Drone-based Videos]]></dc:title><dc:creator>Vimala  Mathew</dc:creator><dc:creator>K.  Ramesh</dc:creator><dc:creator>Tom  Toby</dc:creator><dc:creator>Anu  Mary Chacko</dc:creator><dc:identifier>doi:10.3844/jcssp.2021.639.656</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2021-07-28; | doi:10.3844/jcssp.2021.639.656</dc:source>
    <dc:date>2021-07-28</dc:date>
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    <title><![CDATA[Fault-Tolerant Control of a Nonlinear Uncertain System: A Neural Network-Based Passive Approaches and Comparative Study with State-of-the-Art Control Approaches]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 3 August 2021; <a href="https://thescipub.com/jcs/jcssp.2021.657.669">doi:10.3844/jcssp.2021.657.669</a></p>This article suggests passive methods for designing Fault-Tolerant Control (FTC) for nonlinear uncertain systems with actuator and leak faults. To anticipate the Fault-Tolerant Control (FTC) action to...]]></content:encoded>
    <dc:title><![CDATA[Fault-Tolerant Control of a Nonlinear Uncertain System: A Neural Network-Based Passive Approaches and Comparative Study with State-of-the-Art Control Approaches]]></dc:title><dc:creator>Sejal K. Raval</dc:creator><dc:creator>Himanshukumar Rajendrabhai Patel</dc:creator><dc:creator>Vipul A. Shah</dc:creator><dc:identifier>doi:10.3844/jcssp.2021.657.669</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2021-08-03; | doi:10.3844/jcssp.2021.657.669</dc:source>
    <dc:date>2021-08-03</dc:date>
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    <title><![CDATA[Unsupervised Cosegmentation Model based on Saliency Detection and Optimized Hue Saturation Value Features of Superpixels]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 3 August 2021; <a href="https://thescipub.com/jcs/jcssp.2021.670.682">doi:10.3844/jcssp.2021.670.682</a></p>Segmenting out the foreground from a single image remains a challenge in computer vision. Image co-segmentation has been used recently to alleviate the single image segmentation by exploiting the info...]]></content:encoded>
    <dc:title><![CDATA[Unsupervised Cosegmentation Model based on Saliency Detection and Optimized Hue Saturation Value Features of Superpixels]]></dc:title><dc:creator>Rasha  Shoitan</dc:creator><dc:creator>Mona M. Moussa</dc:creator><dc:identifier>doi:10.3844/jcssp.2021.670.682</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2021-08-03; | doi:10.3844/jcssp.2021.670.682</dc:source>
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