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<title>Volume 15, Issue 6 (2019) | Journal of Computer Science</title>
<description>Volume 15, Issue 6 (2019) | Journal of Computer Science</description>
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    <title><![CDATA[New Information Content Glossary Relatedness (ICGR) Approach for Short Text Similarity (STS) Tasks]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 5 June 2018; <a href="https://thescipub.com/jcs/jcssp.2019.769.784">doi:10.3844/jcssp.2019.769.784</a></p>The measurement of the relatedness of word semantics based on complementary Wikipedia and WordNet-based methods takes two forms, combined and integrative, which are aimed at increasing the semantic sp...]]></content:encoded>
    <dc:title><![CDATA[New Information Content Glossary Relatedness (ICGR) Approach for Short Text Similarity (STS) Tasks]]></dc:title><dc:creator>Ali Muftah BenOmran</dc:creator><dc:creator>Mohd Juzaiddin Ab Aziz</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.769.784</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2018-06-05; | doi:10.3844/jcssp.2019.769.784</dc:source>
    <dc:date>2018-06-05</dc:date>
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    <title><![CDATA[Performance Analysis of Deep Learning Libraries: <i>TensorFlow </i>and <i>PyTorch</i>]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.785.799</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 11 April 2019; <a href="https://thescipub.com/jcs/jcssp.2019.785.799">doi:10.3844/jcssp.2019.785.799</a></p>Through the increase in deep learning study and use, in the last years there was a development of specific libraries for Deep Neural Network (DNN). Each one of these libraries has different performanc...]]></content:encoded>
    <dc:title><![CDATA[Performance Analysis of Deep Learning Libraries: <i>TensorFlow </i>and <i>PyTorch</i>]]></dc:title><dc:creator>Felipe  Florencio</dc:creator><dc:creator>Thiago  Valenç</dc:creator><dc:creator>Edward David Moreno</dc:creator><dc:creator>Methanias Colaço Junior</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.785.799</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2019-04-11; | doi:10.3844/jcssp.2019.785.799</dc:source>
    <dc:date>2019-04-11</dc:date>
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    <title><![CDATA[An Automatic Transformation Method from the E3value Model to IFML Model: An MDA Approach]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.800.813</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 12 June 2019; <a href="https://thescipub.com/jcs/jcssp.2019.800.813">doi:10.3844/jcssp.2019.800.813</a></p>Nowadays the software industry has known a significant growth, while the end-users have become very demanding. In this sense, the model transformation has become one of the essential solutions to ensu...]]></content:encoded>
    <dc:title><![CDATA[An Automatic Transformation Method from the E3value Model to IFML Model: An MDA Approach]]></dc:title><dc:creator>Nassim  Kharmoum</dc:creator><dc:creator>Soumia  Ziti</dc:creator><dc:creator>Yassine  Rhazali</dc:creator><dc:creator>Fouzia  Omary</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.800.813</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2019-06-12; | doi:10.3844/jcssp.2019.800.813</dc:source>
    <dc:date>2019-06-12</dc:date>
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    <prism:doi>10.3844/jcssp.2019.800.813</prism:doi>
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    <title><![CDATA[Real Time Anomaly Detection in Massive Data Streams with ELK Stack]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.814.823</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 17 June 2019; <a href="https://thescipub.com/jcs/jcssp.2019.814.823">doi:10.3844/jcssp.2019.814.823</a></p>Real time anomaly detection is very popular topic nowadays this because the number of data generated every day is larger and larger. Facing with the phenomena of Big Data is not an easy task. The main...]]></content:encoded>
    <dc:title><![CDATA[Real Time Anomaly Detection in Massive Data Streams with ELK Stack]]></dc:title><dc:creator>Jakup  Fondaj</dc:creator><dc:creator>Zirije  Hasani</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.814.823</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2019-06-17; | doi:10.3844/jcssp.2019.814.823</dc:source>
    <dc:date>2019-06-17</dc:date>
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    <prism:doi>10.3844/jcssp.2019.814.823</prism:doi>
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    <title><![CDATA[Speech to Text in Indonesian Personal Assistant]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.824.831</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 19 June 2019; <a href="https://thescipub.com/jcs/jcssp.2019.824.831">doi:10.3844/jcssp.2019.824.831</a></p>Short Message Service (SMS) is one of the most often used features on smartphones. Delivery of SMS messages while driving can interrupt driver’s concentrations that may lead to an accident. Hence, S...]]></content:encoded>
    <dc:title><![CDATA[Speech to Text in Indonesian Personal Assistant]]></dc:title><dc:creator>Intan Sari Areni</dc:creator><dc:creator>Ayu Dhiya Mufidah</dc:creator><dc:creator>  Indrabayu</dc:creator><dc:creator>Sri  Wahyuni</dc:creator><dc:creator>Ingrid  Nurtanio</dc:creator><dc:creator>Ida Rachmaniar Sahali</dc:creator><dc:creator>Anugrayani  Bustamin</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.824.831</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2019-06-19; | doi:10.3844/jcssp.2019.824.831</dc:source>
    <dc:date>2019-06-19</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2019.824.831</prism:doi>
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    <title><![CDATA[An Ontological Approach for Dental Extraction Decision Making and Knowledge Dissemination – A Pilot Study for Dental Extraction Forceps]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.832.843</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 24 June 2019; <a href="https://thescipub.com/jcs/jcssp.2019.832.843">doi:10.3844/jcssp.2019.832.843</a></p>Tooth extraction is one of the most usual surgical procedure in the field of dental. Not having proper knowledge of tooth and extraction instruments may cause too much complexity in extraction procedu...]]></content:encoded>
    <dc:title><![CDATA[An Ontological Approach for Dental Extraction Decision Making and Knowledge Dissemination – A Pilot Study for Dental Extraction Forceps]]></dc:title><dc:creator>Shanmuganathan  Vasanthapriyan</dc:creator><dc:creator>Kuhaneswaran  Banujan</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.832.843</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2019-06-24; | doi:10.3844/jcssp.2019.832.843</dc:source>
    <dc:date>2019-06-24</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2019.832.843</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2019.844.854">
    <title><![CDATA[A New Database Encryption Model Based on Encryption Classes]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.844.854</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 26 June 2019; <a href="https://thescipub.com/jcs/jcssp.2019.844.854">doi:10.3844/jcssp.2019.844.854</a></p>Data encryption is one of the advanced measures used to consolidate data security inside Databases. It is an essential technique to protect data against theft, disclosure or modification from differen...]]></content:encoded>
    <dc:title><![CDATA[A New Database Encryption Model Based on Encryption Classes]]></dc:title><dc:creator>Karim El  Bouchti</dc:creator><dc:creator>Soumia  Ziti</dc:creator><dc:creator>Fouzia  Omary</dc:creator><dc:creator>Nassim  Kharmoum</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.844.854</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2019-06-26; | doi:10.3844/jcssp.2019.844.854</dc:source>
    <dc:date>2019-06-26</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2019.844.854</prism:doi>
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    <title><![CDATA[Crypto-Watermarking of Images based on the Permutation on Z/pZ and the Wavelet Decompositions of Legall 5/3]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.855.860</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 26 June 2019; <a href="https://thescipub.com/jcs/jcssp.2019.855.860">doi:10.3844/jcssp.2019.855.860</a></p>In this work, we are interested in the insertion of the watermarking of digital images in the frequency domain. The algorithm proposed uses the transformed into wavelet Legall 5/3 on an image encrypte...]]></content:encoded>
    <dc:title><![CDATA[Crypto-Watermarking of Images based on the Permutation on Z/pZ and the Wavelet Decompositions of Legall 5/3]]></dc:title><dc:creator>Younes  Benlcouiri</dc:creator><dc:creator>Moulay Chrif Ismaili</dc:creator><dc:creator>Abdelmalek  Azizi</dc:creator><dc:creator>Mohammed  Benabdellah</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.855.860</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2019-06-26; | doi:10.3844/jcssp.2019.855.860</dc:source>
    <dc:date>2019-06-26</dc:date>
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    <prism:doi>10.3844/jcssp.2019.855.860</prism:doi>
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    <title><![CDATA[Applying Neural Network-Based Approach to Sickle Cell Disease-Related Pain Classification]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.861.872</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 28 June 2019; <a href="https://thescipub.com/jcs/jcssp.2019.861.872">doi:10.3844/jcssp.2019.861.872</a></p>Sickle Cell Disease (SCD), an inherited Red Blood Cell (RBC) disorder, is characterized by anaemia, end-organ damage, unpredictable episodes of pain and early mortality. SCD affects 25% of people livi...]]></content:encoded>
    <dc:title><![CDATA[Applying Neural Network-Based Approach to Sickle Cell Disease-Related Pain Classification]]></dc:title><dc:creator>Zacchaeus  Omogbadegun</dc:creator><dc:creator>Israel  Ogundele</dc:creator><dc:creator>Olufunke  Oladipupo</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.861.872</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2019-06-28; | doi:10.3844/jcssp.2019.861.872</dc:source>
    <dc:date>2019-06-28</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2019.861.872</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2019.873.879">
    <title><![CDATA[Extended Trigger Terms for Extracting Adverse Drug Reactions in Social Media Texts]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.873.879</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 29 June 2019; <a href="https://thescipub.com/jcs/jcssp.2019.873.879">doi:10.3844/jcssp.2019.873.879</a></p>Adverse Drug Reaction (ADR) is a disorder caused by taking medications. Studies have addressed extracting ADRs from social networks where users express their opinion regarding a specific medication. E...]]></content:encoded>
    <dc:title><![CDATA[Extended Trigger Terms for Extracting Adverse Drug Reactions in Social Media Texts]]></dc:title><dc:creator>Rami Naim Mohammad Yousef</dc:creator><dc:creator>Sabrina  Tiun</dc:creator><dc:creator>Nazlia  Omar</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.873.879</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2019-06-29; | doi:10.3844/jcssp.2019.873.879</dc:source>
    <dc:date>2019-06-29</dc:date>
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    <prism:doi>10.3844/jcssp.2019.873.879</prism:doi>
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