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<title>Volume 17, Issue 4 (2021) | Journal of Computer Science</title>
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    <title><![CDATA[An Overview of Artificial General Intelligence: Recent Developments and Future Challenges]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 15 April 2021; <a href="https://thescipub.com/jcs/jcssp.2021.364.370">doi:10.3844/jcssp.2021.364.370</a></p>The defense sphere of Artificial General Intelligence (AGI) is developing exponentially. Notwithstanding, there is an under the definition of the character of human beliefs pertaining to AGI associati...]]></content:encoded>
    <dc:title><![CDATA[An Overview of Artificial General Intelligence: Recent Developments and Future Challenges]]></dc:title><dc:creator>Khalid  Alattas</dc:creator><dc:creator>Ahmed  Alkaabi</dc:creator><dc:creator>Alanoud Bandar Alsaud</dc:creator><dc:identifier>doi:10.3844/jcssp.2021.364.370</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2021-04-15; | doi:10.3844/jcssp.2021.364.370</dc:source>
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    <title><![CDATA[Social Media-Facilitated Programming: An ARG Model for Collaborative Programming]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 15 April 2021; <a href="https://thescipub.com/jcs/jcssp.2021.371.402">doi:10.3844/jcssp.2021.371.402</a></p>Internet-based tools and social media are greatly developed in the tech world. Today, technology is widely accepted and used by all generations. These tools are great and very useful for students in t...]]></content:encoded>
    <dc:title><![CDATA[Social Media-Facilitated Programming: An ARG Model for Collaborative Programming]]></dc:title><dc:creator>Ahmad  Al-Jarrah</dc:creator><dc:creator>Abdel Karim Baareh</dc:creator><dc:creator>Ahmad  Smadi</dc:creator><dc:creator>Roba  Jabali</dc:creator><dc:identifier>doi:10.3844/jcssp.2021.371.402</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2021-04-15; | doi:10.3844/jcssp.2021.371.402</dc:source>
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    <title><![CDATA[Big Data in Educational Institutions using RapidMiner to Predict Learning Effectiveness]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 29 April 2021; <a href="https://thescipub.com/jcs/jcssp.2021.403.413">doi:10.3844/jcssp.2021.403.413</a></p>Schools, universities, colleges and other educational institutions store a lot of data related to students and teachers as well as those related to education. You can analyze this data to gain insight...]]></content:encoded>
    <dc:title><![CDATA[Big Data in Educational Institutions using RapidMiner to Predict Learning Effectiveness]]></dc:title><dc:creator>Evaristus Didik Madyatmadja</dc:creator><dc:creator>David Jumpa Malem Sembiring</dc:creator><dc:creator>Sinek Mehuli Br Perangin Angin</dc:creator><dc:creator>David  Ferdy</dc:creator><dc:creator>Johanes Fernandes Andry</dc:creator><dc:identifier>doi:10.3844/jcssp.2021.403.413</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2021-04-29; | doi:10.3844/jcssp.2021.403.413</dc:source>
    <dc:date>2021-04-29</dc:date>
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    <title><![CDATA[Compressive Sensing Theory for Improving the Robustness and the Security of the Discrete Wavelet Transform-Singular Value Decomposition Watermarking Scheme]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 28 April 2021; <a href="https://thescipub.com/jcs/jcssp.2021.414.426">doi:10.3844/jcssp.2021.414.426</a></p>Digital watermarking has been suggested as a solution to protect copyright and ownership of digital images. The effective watermarking scheme should satisfy imperceptibility, robustness, capacity and ...]]></content:encoded>
    <dc:title><![CDATA[Compressive Sensing Theory for Improving the Robustness and the Security of the Discrete Wavelet Transform-Singular Value Decomposition Watermarking Scheme]]></dc:title><dc:creator>Rasha  Shoitan</dc:creator><dc:creator>Sawsan Morkos Gharghory</dc:creator><dc:identifier>doi:10.3844/jcssp.2021.414.426</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2021-04-28; | doi:10.3844/jcssp.2021.414.426</dc:source>
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    <title><![CDATA[Application of Data Mining Classifiers on Sunflower Edible Oil Bleaching Process: A Comprehensive Comparative Analysis]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 April 2021; <a href="https://thescipub.com/jcs/jcssp.2021.427.439">doi:10.3844/jcssp.2021.427.439</a></p>Sunflower oil is widely used as edible oil. It is commonly extracted by solvent extraction method from the sunflower seed. After extraction, crude sunflower oil is obtained. Crude sunflower oil has so...]]></content:encoded>
    <dc:title><![CDATA[Application of Data Mining Classifiers on Sunflower Edible Oil Bleaching Process: A Comprehensive Comparative Analysis]]></dc:title><dc:creator>Ömer Nedim Kenger</dc:creator><dc:creator>Eren  Özceylan</dc:creator><dc:identifier>doi:10.3844/jcssp.2021.427.439</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2021-04-30; | doi:10.3844/jcssp.2021.427.439</dc:source>
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    <title><![CDATA[Layout Optimization in a Fitness Industry: An Application of QAP Formulation and Heuristic Approaches]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 3 May 2021; <a href="https://thescipub.com/jcs/jcssp.2021.440.450">doi:10.3844/jcssp.2021.440.450</a></p>The Quadratic Assignment Problem (QAP) is the problem of determining a one-to-one and onto assignment between two sets, each consisting of n objects (e.g., n facilities and n locations) so as to minim...]]></content:encoded>
    <dc:title><![CDATA[Layout Optimization in a Fitness Industry: An Application of QAP Formulation and Heuristic Approaches]]></dc:title><dc:creator>İbrahim Miraç Eligüzel</dc:creator><dc:creator>Eren  Özceylan</dc:creator><dc:creator>Yakup  Atasagun</dc:creator><dc:identifier>doi:10.3844/jcssp.2021.440.450</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2021-05-03; | doi:10.3844/jcssp.2021.440.450</dc:source>
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