<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:prism="http://prismstandard.org/namespaces/basic/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/"
xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns="http://purl.org/rss/1.0/" xmlns:admin="http://webns.net/mvcb/">
<channel rdf:about="https://thescipub.com/feed/jcs/issue-1136.rss">
<title>Volume 15, Issue 1 (2019) | Journal of Computer Science</title>
<description>Volume 15, Issue 1 (2019) | Journal of Computer Science</description>
<link>https://thescipub.com/jcs/issue/1136</link>
<admin:generatorAgent rdf:resource="https://thescipub.com/"/>
<admin:errorReportsTo rdf:resource="mailto:support@thescipub.com"/>
<dc:publisher>Science Publications</dc:publisher>
<dc:language>en</dc:language>
<prism:publicationName>Science Publications</prism:publicationName>
<items>
<rdf:Seq>
<rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2019.1.9"/><rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2019.10.26"/><rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2019.27.44"/><rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2019.45.56"/><rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2019.57.66"/><rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2019.67.77"/><rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2019.78.91"/><rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2019.92.107"/><rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2019.108.117"/><rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2019.118.130"/><rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2019.131.142"/><rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2019.143.160"/><rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2019.161.170"/><rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2019.171.189"/><rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2019.190.196"/><rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2019.197.206"/><rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2019.207.220"/></rdf:Seq>
</items>
</channel><item rdf:about="https://thescipub.com/jcs/jcssp.2019.1.9">
    <title><![CDATA[Evaluating Password Behavior at a Small University]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.1.9</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 4 January 2019; <a href="https://thescipub.com/jcs/jcssp.2019.1.9">doi:10.3844/jcssp.2019.1.9</a></p>No matter how sophisticated an organization’s security system is, it remains vulnerable due to the human factor. In this study, we surveyed and analyzed the patterns practiced by users when generati...]]></content:encoded>
    <dc:title><![CDATA[Evaluating Password Behavior at a Small University]]></dc:title><dc:creator>Mohammed  Awad</dc:creator><dc:creator>Zakaria  Al-Qudah</dc:creator><dc:creator>Sahar  Idwan</dc:creator><dc:creator>Abdul Halim Jallad</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.1.9</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2019-01-04; | doi:10.3844/jcssp.2019.1.9</dc:source>
    <dc:date>2019-01-04</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2019.1.9</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2019.1.9</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2019.10.26">
    <title><![CDATA[Cluster Based Architecture for Cognitive Radio Network]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.10.26</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 12 December 2018; <a href="https://thescipub.com/jcs/jcssp.2019.10.26">doi:10.3844/jcssp.2019.10.26</a></p>Catastrophic events like flood often result in the derangement of the communication networks. The consequences include difficulty in locating the survivors of the disaster. The purpose of this paper i...]]></content:encoded>
    <dc:title><![CDATA[Cluster Based Architecture for Cognitive Radio Network]]></dc:title><dc:creator>Manoj  Ramachandran</dc:creator><dc:creator>Harish Sheeranalli Venkatarama</dc:creator><dc:creator>Sandesh  Hebbar</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.10.26</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2018-12-12; | doi:10.3844/jcssp.2019.10.26</dc:source>
    <dc:date>2018-12-12</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2019.10.26</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2019.10.26</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2019.27.44">
    <title><![CDATA[Blind Source Separation under Semi-White Gaussian Noise and Uniform Noise: Performance Analysis of ICA, Sobi and JadeR]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.27.44</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 31 December 2018; <a href="https://thescipub.com/jcs/jcssp.2019.27.44">doi:10.3844/jcssp.2019.27.44</a></p>A comparative study is presented to evaluate the performance of three important Blind Source Separation (BSS) techniques under noisy conditions. The ability of FastICA, SOBI and JadeR is tested in sep...]]></content:encoded>
    <dc:title><![CDATA[Blind Source Separation under Semi-White Gaussian Noise and Uniform Noise: Performance Analysis of ICA, Sobi and JadeR]]></dc:title><dc:creator>Muna H. Fatnan</dc:creator><dc:creator>Zahir M. Hussain</dc:creator><dc:creator>Hind R. Mohammed</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.27.44</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2018-12-31; | doi:10.3844/jcssp.2019.27.44</dc:source>
    <dc:date>2018-12-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2019.27.44</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2019.27.44</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2019.45.56">
    <title><![CDATA[Symbolic Aggregate approXimation-Local Binary Pattern Feature Descriptor Combination for Automatic Facial Expression Recognition]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.45.56</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 8 January 2019; <a href="https://thescipub.com/jcs/jcssp.2019.45.56">doi:10.3844/jcssp.2019.45.56</a></p>Automatic identification of facial expression is a significant research area which is anticipated for real time processing in Human-Computer Interaction domain. Along with an efficient classifier for ...]]></content:encoded>
    <dc:title><![CDATA[Symbolic Aggregate approXimation-Local Binary Pattern Feature Descriptor Combination for Automatic Facial Expression Recognition]]></dc:title><dc:creator>Sumithra  M.D.</dc:creator><dc:creator>M.  Abdul Rahiman</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.45.56</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2019-01-08; | doi:10.3844/jcssp.2019.45.56</dc:source>
    <dc:date>2019-01-08</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2019.45.56</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2019.45.56</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2019.57.66">
    <title><![CDATA[Performance Optimization of Physics Simulations Through Genetic Algorithms]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.57.66</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 8 January 2019; <a href="https://thescipub.com/jcs/jcssp.2019.57.66">doi:10.3844/jcssp.2019.57.66</a></p>The GeantV R&D approach is revisiting the standard particle transport simulation approach to be able to benefit from “Single Instruction, Multiple Data” (SIMD) computational architectures or extre...]]></content:encoded>
    <dc:title><![CDATA[Performance Optimization of Physics Simulations Through Genetic Algorithms]]></dc:title><dc:creator>Oksana  Shadura</dc:creator><dc:creator>Federico  Carminati</dc:creator><dc:creator>Anatoliy  Petrenko</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.57.66</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2019-01-08; | doi:10.3844/jcssp.2019.57.66</dc:source>
    <dc:date>2019-01-08</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2019.57.66</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2019.57.66</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2019.67.77">
    <title><![CDATA[Obesity Level Estimation Software based on Decision Trees]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.67.77</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 8 January 2019; <a href="https://thescipub.com/jcs/jcssp.2019.67.77">doi:10.3844/jcssp.2019.67.77</a></p>Obesity has become a global epidemic that has doubled since 1980, with serious consequences for health in children, teenagers and adults. Obesity is a problem has been growing steadily and that is why...]]></content:encoded>
    <dc:title><![CDATA[Obesity Level Estimation Software based on Decision Trees]]></dc:title><dc:creator>Eduardo  De-La-Hoz-Correa</dc:creator><dc:creator>Fabio E. Mendoza-Palechor</dc:creator><dc:creator>Alexis  De-La-Hoz-Manotas</dc:creator><dc:creator>Roberto C. Morales-Ortega</dc:creator><dc:creator>Sánchez Hernández Beatriz Adriana</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.67.77</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2019-01-08; | doi:10.3844/jcssp.2019.67.77</dc:source>
    <dc:date>2019-01-08</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2019.67.77</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2019.67.77</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2019.78.91">
    <title><![CDATA[Direct Sequence and Frequency Hopping Signals Classification Based on Co-Occurrence Matrix and Clustering Techniques]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.78.91</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 10 January 2019; <a href="https://thescipub.com/jcs/jcssp.2019.78.91">doi:10.3844/jcssp.2019.78.91</a></p>Spread Spectrum techniques (SS) were first developed for military applications, but currently, they have commercial applications. SS provides secure communication and allows multiple accesses for same...]]></content:encoded>
    <dc:title><![CDATA[Direct Sequence and Frequency Hopping Signals Classification Based on Co-Occurrence Matrix and Clustering Techniques]]></dc:title><dc:creator>Haidy S. Fouad</dc:creator><dc:creator>Hend A. Elsayed</dc:creator><dc:creator>Shawkat K. Girgis</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.78.91</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2019-01-10; | doi:10.3844/jcssp.2019.78.91</dc:source>
    <dc:date>2019-01-10</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2019.78.91</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2019.78.91</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2019.92.107">
    <title><![CDATA[A Static Analysis of Android Source Code for Lifecycle Development Usage Patterns]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.92.107</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 10 January 2019; <a href="https://thescipub.com/jcs/jcssp.2019.92.107">doi:10.3844/jcssp.2019.92.107</a></p>Building robust Android apps is a non-trivial task that requires skilled developers to understand various Android platform peculiarities. However, among the Android developers community, a large fract...]]></content:encoded>
    <dc:title><![CDATA[A Static Analysis of Android Source Code for Lifecycle Development Usage Patterns]]></dc:title><dc:creator>Noura  Hoshieah</dc:creator><dc:creator>Samer  Zein</dc:creator><dc:creator>Norsaremah  Salleh</dc:creator><dc:creator>John  Grundy</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.92.107</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2019-01-10; | doi:10.3844/jcssp.2019.92.107</dc:source>
    <dc:date>2019-01-10</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2019.92.107</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2019.92.107</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2019.108.117">
    <title><![CDATA[Optimal Components Assignment Problem for Stochastic-Flow Networks]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.108.117</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 10 January 2019; <a href="https://thescipub.com/jcs/jcssp.2019.108.117">doi:10.3844/jcssp.2019.108.117</a></p>Components assignment problem to maximize the network reliability in the case of each component has both an assignment cost and lead-time is never discussed. Therefore, this paper focuses on solving t...]]></content:encoded>
    <dc:title><![CDATA[Optimal Components Assignment Problem for Stochastic-Flow Networks]]></dc:title><dc:creator>Abdellah  Aissou</dc:creator><dc:creator>Abdelhamid  Daamouche</dc:creator><dc:creator>Moatamad Refaat Hassan</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.108.117</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2019-01-10; | doi:10.3844/jcssp.2019.108.117</dc:source>
    <dc:date>2019-01-10</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2019.108.117</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2019.108.117</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2019.118.130">
    <title><![CDATA[Visualization of Data Mining Techniques for the Prediction of Breast Cancer with High Accuracy Rates]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.118.130</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 21 January 2019; <a href="https://thescipub.com/jcs/jcssp.2019.118.130">doi:10.3844/jcssp.2019.118.130</a></p>Breast cancer is one of the leading causes of death in women worldwide. Around one in 30 women are affected by breast cancer. Mammography has helped in detecting breast cancer in the early stages whic...]]></content:encoded>
    <dc:title><![CDATA[Visualization of Data Mining Techniques for the Prediction of Breast Cancer with High Accuracy Rates]]></dc:title><dc:creator>Vasudev  Sharma</dc:creator><dc:creator>Raj Kumar Rajasekaran</dc:creator><dc:creator>Shreya  Badhrinarayanan</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.118.130</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2019-01-21; | doi:10.3844/jcssp.2019.118.130</dc:source>
    <dc:date>2019-01-21</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2019.118.130</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2019.118.130</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2019.131.142">
    <title><![CDATA[Evaluation of Classification Models for Predicting Mortality Rate Using Thyroid Cancer Data]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.131.142</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 21 January 2019; <a href="https://thescipub.com/jcs/jcssp.2019.131.142">doi:10.3844/jcssp.2019.131.142</a></p>Machine Learning (ML) can potentially enhance predictions in real-life domains. This study presents an evaluation and comparison of different ML methods which can be applied on thyroid cancer dataset,...]]></content:encoded>
    <dc:title><![CDATA[Evaluation of Classification Models for Predicting Mortality Rate Using Thyroid Cancer Data]]></dc:title><dc:creator>Norah Saleh Alghamdi</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.131.142</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2019-01-21; | doi:10.3844/jcssp.2019.131.142</dc:source>
    <dc:date>2019-01-21</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2019.131.142</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2019.131.142</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2019.143.160">
    <title><![CDATA[Arabic Online Event-Based System for Monitoring and Extracting Infectious Disease-Related Information]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.143.160</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 22 January 2019; <a href="https://thescipub.com/jcs/jcssp.2019.143.160">doi:10.3844/jcssp.2019.143.160</a></p>With the revolution of the internet, online data play a significant role in identifying disease outbreaks. This has led researchers, governments and organizations to pay close attention to such data i...]]></content:encoded>
    <dc:title><![CDATA[Arabic Online Event-Based System for Monitoring and Extracting Infectious Disease-Related Information]]></dc:title><dc:creator>Meshrif  Alruily</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.143.160</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2019-01-22; | doi:10.3844/jcssp.2019.143.160</dc:source>
    <dc:date>2019-01-22</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2019.143.160</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2019.143.160</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2019.161.170">
    <title><![CDATA[A Qualitative Assessment of VANET Routing Protocols Under Different Mobility Models]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.161.170</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 23 January 2019; <a href="https://thescipub.com/jcs/jcssp.2019.161.170">doi:10.3844/jcssp.2019.161.170</a></p>Vehicular Ad-hoc Networks (VANET) is an advanced wireless network that came to increase traffic safety, efficiency and to improve driving experience. The high mobility of nodes is the major characteri...]]></content:encoded>
    <dc:title><![CDATA[A Qualitative Assessment of VANET Routing Protocols Under Different Mobility Models]]></dc:title><dc:creator>Meriem  Houmer</dc:creator><dc:creator>Moulay Lahcen Hasnaoui</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.161.170</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2019-01-23; | doi:10.3844/jcssp.2019.161.170</dc:source>
    <dc:date>2019-01-23</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2019.161.170</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2019.161.170</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2019.171.189">
    <title><![CDATA[Two Factor Authentication for e-Government Services using Hardware-Like One Time Password Generators]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.171.189</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 26 January 2019; <a href="https://thescipub.com/jcs/jcssp.2019.171.189">doi:10.3844/jcssp.2019.171.189</a></p>A safe and accessible authentication technique is a prerequisite for any modern e-government application. Two-factor authentication is currently widely adopted, since it alleviates many vulnerabilitie...]]></content:encoded>
    <dc:title><![CDATA[Two Factor Authentication for e-Government Services using Hardware-Like One Time Password Generators]]></dc:title><dc:creator>Giuseppe Della Penna</dc:creator><dc:creator>Pietro  Frasca</dc:creator><dc:creator>Benedetto  Intrigila</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.171.189</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2019-01-26; | doi:10.3844/jcssp.2019.171.189</dc:source>
    <dc:date>2019-01-26</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2019.171.189</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2019.171.189</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2019.190.196">
    <title><![CDATA[Design of a Dynamic Boot Loader for Loading an Operating System]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.190.196</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 28 January 2019; <a href="https://thescipub.com/jcs/jcssp.2019.190.196">doi:10.3844/jcssp.2019.190.196</a></p>Boot Loader is the crucial program that loads the operating system in memory and initializes the system. In today’s world people are constantly on move and portable system are in demand specially th...]]></content:encoded>
    <dc:title><![CDATA[Design of a Dynamic Boot Loader for Loading an Operating System]]></dc:title><dc:creator>Alycia  Sebastian</dc:creator><dc:creator>Dr. K. Siva Sankar</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.190.196</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2019-01-28; | doi:10.3844/jcssp.2019.190.196</dc:source>
    <dc:date>2019-01-28</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2019.190.196</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2019.190.196</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2019.197.206">
    <title><![CDATA[Horizontal Cooperation Practices in Internet-based Higher Education, Computational Logistics and Telecommunications]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.197.206</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 31 January 2019; <a href="https://thescipub.com/jcs/jcssp.2019.197.206">doi:10.3844/jcssp.2019.197.206</a></p>Globalization and advances in information and communication technologies have boosted the use of Horizontal Cooperation (HC) practices in many industry sectors. In the current international market, th...]]></content:encoded>
    <dc:title><![CDATA[Horizontal Cooperation Practices in Internet-based Higher Education, Computational Logistics and Telecommunications]]></dc:title><dc:creator>Jesica  de Arma</dc:creator><dc:creator>Thanasis  Daradoumis</dc:creator><dc:creator>Anastasios A. Economides</dc:creator><dc:creator>Angel A. Juan</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.197.206</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2019-01-31; | doi:10.3844/jcssp.2019.197.206</dc:source>
    <dc:date>2019-01-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2019.197.206</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2019.197.206</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2019.207.220">
    <title><![CDATA[Towards a Generic Multimodal Architecture for Batch and Streaming Big Data Integration]]></title>
    <link>https://thescipub.com/jcs/jcssp.2019.207.220</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 31 January 2019; <a href="https://thescipub.com/jcs/jcssp.2019.207.220">doi:10.3844/jcssp.2019.207.220</a></p>Big Data are rapidly produced from various heterogeneous data sources. They are of different types (text, image, video or audio) and have different levels of reliability and completeness. One of the m...]]></content:encoded>
    <dc:title><![CDATA[Towards a Generic Multimodal Architecture for Batch and Streaming Big Data Integration]]></dc:title><dc:creator>Siham  Yousfi</dc:creator><dc:creator>Maryem  Rhanoui</dc:creator><dc:creator>Dalila  Chiadmi</dc:creator><dc:identifier>doi:10.3844/jcssp.2019.207.220</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2019-01-31; | doi:10.3844/jcssp.2019.207.220</dc:source>
    <dc:date>2019-01-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2019.207.220</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2019.207.220</prism:url>
    </item></rdf:RDF>