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<title>Volume 13, Issue 7 (2017) | Journal of Computer Science</title>
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    <title><![CDATA[A New Methodology for Neural Network Training Ensures Error Reduction in Time Series Forecasting]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 4 July 2017; <a href="https://thescipub.com/jcs/jcssp.2017.211.217">doi:10.3844/jcssp.2017.211.217</a></p>Artificial Neural Networks (ANN) consists of some components, such as architecture and learning algorithm. These components have a significant effect on the performance of the ANN, but finding good pa...]]></content:encoded>
    <dc:title><![CDATA[A New Methodology for Neural Network Training Ensures Error Reduction in Time Series Forecasting]]></dc:title><dc:creator>Paola A. Sánchez-Sánchez</dc:creator><dc:creator>José Rafael García-González</dc:creator><dc:identifier>doi:10.3844/jcssp.2017.211.217</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2017-07-04; | doi:10.3844/jcssp.2017.211.217</dc:source>
    <dc:date>2017-07-04</dc:date>
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    <title><![CDATA[Network Traffic Model: A Case of BIUST Network]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 21 June 2017; <a href="https://thescipub.com/jcs/jcssp.2017.218.227">doi:10.3844/jcssp.2017.218.227</a></p>Network traffic model and analysis provides the average load, bandwidth requirements and the different application of the available bandwidth for a particular network, in addition to several other det...]]></content:encoded>
    <dc:title><![CDATA[Network Traffic Model: A Case of BIUST Network]]></dc:title><dc:creator>Thato  Solomon</dc:creator><dc:creator>Adamu Murtala Zungeru</dc:creator><dc:creator>Rajalakshmi  Selvaraj</dc:creator><dc:creator>Mmoloki  Mangwala</dc:creator><dc:creator>Joseph  Chuma</dc:creator><dc:identifier>doi:10.3844/jcssp.2017.218.227</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2017-06-21; | doi:10.3844/jcssp.2017.218.227</dc:source>
    <dc:date>2017-06-21</dc:date>
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    <title><![CDATA[A Classification and Prediction Model for Student's Performance in University Level]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 14 July 2017; <a href="https://thescipub.com/jcs/jcssp.2017.228.233">doi:10.3844/jcssp.2017.228.233</a></p>Educational Data Mining is a new discipline, focusing on studying the methods and creating models to utilize educational data, using those methods to better understand students and their performance. ...]]></content:encoded>
    <dc:title><![CDATA[A Classification and Prediction Model for Student's Performance in University Level]]></dc:title><dc:creator>Ashraf  Abazeed</dc:creator><dc:creator>Moaiad  Khder</dc:creator><dc:identifier>doi:10.3844/jcssp.2017.228.233</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2017-07-14; | doi:10.3844/jcssp.2017.228.233</dc:source>
    <dc:date>2017-07-14</dc:date>
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    <title><![CDATA[E-GENMR: Enhanced Generalized Query Processing using Double Hashing Technique through MapReduce in Cloud Database Management System]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 14 July 2017; <a href="https://thescipub.com/jcs/jcssp.2017.234.246">doi:10.3844/jcssp.2017.234.246</a></p>Big Data, Cloud computing and Data Science is the booming future of IT industries. The common thing among all the new techniques is that they deal with not just Data but Big Data. Users store various ...]]></content:encoded>
    <dc:title><![CDATA[E-GENMR: Enhanced Generalized Query Processing using Double Hashing Technique through MapReduce in Cloud Database Management System]]></dc:title><dc:creator>Shweta  Malhotra</dc:creator><dc:creator>Mohammad Najmud Doja</dc:creator><dc:creator>Bashir  Alam</dc:creator><dc:creator>Mansaf  Alam</dc:creator><dc:identifier>doi:10.3844/jcssp.2017.234.246</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2017-07-14; | doi:10.3844/jcssp.2017.234.246</dc:source>
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    <title><![CDATA[High Density Salt and Pepper Noise Filter based on Shepard Interpolation Method]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 20 July 2017; <a href="https://thescipub.com/jcs/jcssp.2017.247.256">doi:10.3844/jcssp.2017.247.256</a></p>This paper has proposed the technique in order to remove salt-and-pepper noise from the corrupted image. The proposed scheme consists of two steps. The first, the adaptive median filter is applied to ...]]></content:encoded>
    <dc:title><![CDATA[High Density Salt and Pepper Noise Filter based on Shepard Interpolation Method]]></dc:title><dc:creator>Chaipichit  Cumpim</dc:creator><dc:creator>Rachu  Punchalard</dc:creator><dc:identifier>doi:10.3844/jcssp.2017.247.256</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2017-07-20; | doi:10.3844/jcssp.2017.247.256</dc:source>
    <dc:date>2017-07-20</dc:date>
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