<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-1105.rss">
<title>Volume 14, Issue 8 (2018) | Journal of Computer Science</title>
<description>Volume 14, Issue 8 (2018) | Journal of Computer Science</description>
<link>https://thescipub.com/jcs/issue/1105</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.2018.1081.1096"/><rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2018.1097.1103"/><rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2018.1104.1114"/><rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2018.1115.1125"/><rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2018.1126.1133"/><rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2018.1134.1143"/><rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2018.1144.1154"/><rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2018.1155.1173"/><rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2018.1174.1189"/><rdf:li rdf:resource="https://thescipub.com/jcs/jcssp.2018.1190.1201"/></rdf:Seq>
</items>
</channel><item rdf:about="https://thescipub.com/jcs/jcssp.2018.1081.1096">
    <title><![CDATA[Fractal Dimension for Lung Sound Classification in Multiscale Scheme]]></title>
    <link>https://thescipub.com/jcs/jcssp.2018.1081.1096</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 24 August 2018; <a href="https://thescipub.com/jcs/jcssp.2018.1081.1096">doi:10.3844/jcssp.2018.1081.1096</a></p>Lung sound is a biological signal with the information of respiratory system health. Health lung sound can be differentiated from other pathological sounds by auscultation. This difference can be obje...]]></content:encoded>
    <dc:title><![CDATA[Fractal Dimension for Lung Sound Classification in Multiscale Scheme]]></dc:title><dc:creator>Achmad  Rizal</dc:creator><dc:creator>Risanuri  Hidayat</dc:creator><dc:creator>Hanung Adi Nugroho</dc:creator><dc:identifier>doi:10.3844/jcssp.2018.1081.1096</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2018-08-24; | doi:10.3844/jcssp.2018.1081.1096</dc:source>
    <dc:date>2018-08-24</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2018.1081.1096</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2018.1081.1096</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2018.1097.1103">
    <title><![CDATA[Multiresolution Laplacian Sparse Coding Technique for Image Classification]]></title>
    <link>https://thescipub.com/jcs/jcssp.2018.1097.1103</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 23 May 2018; <a href="https://thescipub.com/jcs/jcssp.2018.1097.1103">doi:10.3844/jcssp.2018.1097.1103</a></p>Sparse coding is a set of techniques used for learning a collection of over-complete bases to represent data efficiently. This technique has been used in different domain such as feature quantization ...]]></content:encoded>
    <dc:title><![CDATA[Multiresolution Laplacian Sparse Coding Technique for Image Classification]]></dc:title><dc:creator>Intidhar  Jemel</dc:creator><dc:creator>Ridha  Ejbali</dc:creator><dc:creator>Mourad  Zaied</dc:creator><dc:identifier>doi:10.3844/jcssp.2018.1097.1103</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2018-05-23; | doi:10.3844/jcssp.2018.1097.1103</dc:source>
    <dc:date>2018-05-23</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2018.1097.1103</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2018.1097.1103</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2018.1104.1114">
    <title><![CDATA[Arabic Sentiment Classification using MLP Network Hybrid with Naive Bayes Algorithm]]></title>
    <link>https://thescipub.com/jcs/jcssp.2018.1104.1114</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 7 August 2018; <a href="https://thescipub.com/jcs/jcssp.2018.1104.1114">doi:10.3844/jcssp.2018.1104.1114</a></p>Sentiment analysis has recently become one of the growing areas of research related to text mining and natural language processing. Sentiment analysis techniques are increasingly exploited to categori...]]></content:encoded>
    <dc:title><![CDATA[Arabic Sentiment Classification using MLP Network Hybrid with Naive Bayes Algorithm]]></dc:title><dc:creator>Mohammad Subhi Al-Batah</dc:creator><dc:creator>Shakir  Mrayyen</dc:creator><dc:creator>Malek  Alzaqebah</dc:creator><dc:identifier>doi:10.3844/jcssp.2018.1104.1114</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2018-08-07; | doi:10.3844/jcssp.2018.1104.1114</dc:source>
    <dc:date>2018-08-07</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2018.1104.1114</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2018.1104.1114</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2018.1115.1125">
    <title><![CDATA[MCMC-Fuzzy: A Fuzzy Metric Applied to Bayesian Network Structure Learning]]></title>
    <link>https://thescipub.com/jcs/jcssp.2018.1115.1125</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 24 August 2018; <a href="https://thescipub.com/jcs/jcssp.2018.1115.1125">doi:10.3844/jcssp.2018.1115.1125</a></p>Bayesian network structure learning is considered a complex task as the number of possible structures grows exponentially with the number of variables. Two main methods are used for Bayesian network s...]]></content:encoded>
    <dc:title><![CDATA[MCMC-Fuzzy: A Fuzzy Metric Applied to Bayesian Network Structure Learning]]></dc:title><dc:creator>Beatriz  Wilges</dc:creator><dc:creator>Ademar Crotti Junior</dc:creator><dc:creator>Silvia Modesto Nassar</dc:creator><dc:identifier>doi:10.3844/jcssp.2018.1115.1125</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2018-08-24; | doi:10.3844/jcssp.2018.1115.1125</dc:source>
    <dc:date>2018-08-24</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2018.1115.1125</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2018.1115.1125</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2018.1126.1133">
    <title><![CDATA[Task Scheduling in Real Time Systems with Energy Harvesting and Energy Minimization]]></title>
    <link>https://thescipub.com/jcs/jcssp.2018.1126.1133</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 15 August 2018; <a href="https://thescipub.com/jcs/jcssp.2018.1126.1133">doi:10.3844/jcssp.2018.1126.1133</a></p>Energy is a major concern in battery operated real time devices (e.g. sensor nodes situated in remote areas) as battery life is solely responsible for the functioning of such devices. For such systems...]]></content:encoded>
    <dc:title><![CDATA[Task Scheduling in Real Time Systems with Energy Harvesting and Energy Minimization]]></dc:title><dc:creator>Arvind  Kumar</dc:creator><dc:creator>Bashir  Alam</dc:creator><dc:identifier>doi:10.3844/jcssp.2018.1126.1133</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2018-08-15; | doi:10.3844/jcssp.2018.1126.1133</dc:source>
    <dc:date>2018-08-15</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2018.1126.1133</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2018.1126.1133</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2018.1134.1143">
    <title><![CDATA[Experimental Study: The Effects of Mobile Phone Icons Characteristics on Users’ Age Groups]]></title>
    <link>https://thescipub.com/jcs/jcssp.2018.1134.1143</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 24 August 2018; <a href="https://thescipub.com/jcs/jcssp.2018.1134.1143">doi:10.3844/jcssp.2018.1134.1143</a></p>Mobile phone applications interfaces offer great support to various age group users. There is a lot of Mobile Human Computer Interaction (here after HCI) research work going on, which is found in User...]]></content:encoded>
    <dc:title><![CDATA[Experimental Study: The Effects of Mobile Phone Icons Characteristics on Users’ Age Groups]]></dc:title><dc:creator>Syed  Ghayas</dc:creator><dc:creator>Salim Amor Al-Hajri</dc:creator><dc:creator>Suziah  Sulaiman</dc:creator><dc:identifier>doi:10.3844/jcssp.2018.1134.1143</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2018-08-24; | doi:10.3844/jcssp.2018.1134.1143</dc:source>
    <dc:date>2018-08-24</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2018.1134.1143</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2018.1134.1143</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2018.1144.1154">
    <title><![CDATA[Impact of Business Intelligence Competencies on the Organizational Capabilities in Jordanian Banks]]></title>
    <link>https://thescipub.com/jcs/jcssp.2018.1144.1154</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 24 August 2018; <a href="https://thescipub.com/jcs/jcssp.2018.1144.1154">doi:10.3844/jcssp.2018.1144.1154</a></p>This study aims to identify the role of business intelligence competencies (Managerial competencies, Technical competencies and cultural competencies) on the organizational capabilities in Jordanian b...]]></content:encoded>
    <dc:title><![CDATA[Impact of Business Intelligence Competencies on the Organizational Capabilities in Jordanian Banks]]></dc:title><dc:creator>Mohammad Atwah Al-Maaitah</dc:creator><dc:identifier>doi:10.3844/jcssp.2018.1144.1154</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2018-08-24; | doi:10.3844/jcssp.2018.1144.1154</dc:source>
    <dc:date>2018-08-24</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2018.1144.1154</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2018.1144.1154</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2018.1155.1173">
    <title><![CDATA[A Comparison Study between Different Sampling Strategies for Intrusion Detection System of Active Learning Model]]></title>
    <link>https://thescipub.com/jcs/jcssp.2018.1155.1173</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 26 August 2018; <a href="https://thescipub.com/jcs/jcssp.2018.1155.1173">doi:10.3844/jcssp.2018.1155.1173</a></p>Active learning aims to train an accurate model with minimum cost by labeling the most informative instances without compromising the model performance. So, choosing an efficient criterion for instanc...]]></content:encoded>
    <dc:title><![CDATA[A Comparison Study between Different Sampling Strategies for Intrusion Detection System of Active Learning Model]]></dc:title><dc:creator>Ghofran Mohammad Alqaralleh</dc:creator><dc:creator>Mohammad Aref Alshraideh</dc:creator><dc:creator>Ali  Alrodan</dc:creator><dc:identifier>doi:10.3844/jcssp.2018.1155.1173</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2018-08-26; | doi:10.3844/jcssp.2018.1155.1173</dc:source>
    <dc:date>2018-08-26</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2018.1155.1173</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2018.1155.1173</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2018.1174.1189">
    <title><![CDATA[Simulated Annealing Decoder for Linear Block Codes]]></title>
    <link>https://thescipub.com/jcs/jcssp.2018.1174.1189</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 4 September 2018; <a href="https://thescipub.com/jcs/jcssp.2018.1174.1189">doi:10.3844/jcssp.2018.1174.1189</a></p>In this study, we introduce a novel soft decoder, the first of its kind, for linear block codes, based on Simulated Annealing algorithm (SA). The main enhancement in our contribution which let our dec...]]></content:encoded>
    <dc:title><![CDATA[Simulated Annealing Decoder for Linear Block Codes]]></dc:title><dc:creator>Lahcen  Niharmine</dc:creator><dc:creator>Hicham  Bouzkraoui</dc:creator><dc:creator>Ahmed  Azouaoui</dc:creator><dc:creator>Youssef  Hadi</dc:creator><dc:identifier>doi:10.3844/jcssp.2018.1174.1189</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2018-09-04; | doi:10.3844/jcssp.2018.1174.1189</dc:source>
    <dc:date>2018-09-04</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2018.1174.1189</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2018.1174.1189</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2018.1190.1201">
    <title><![CDATA[The Use of Band Selection in Weighted Linear Prediction for Hyperspectral Image Classification]]></title>
    <link>https://thescipub.com/jcs/jcssp.2018.1190.1201</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 4 September 2018; <a href="https://thescipub.com/jcs/jcssp.2018.1190.1201">doi:10.3844/jcssp.2018.1190.1201</a></p>The advancement of imaging procedures has made hyperspectral sensors fit for acquiring spectral data in many restricted and bordering bands, which brings about a high relationship between's neighborin...]]></content:encoded>
    <dc:title><![CDATA[The Use of Band Selection in Weighted Linear Prediction for Hyperspectral Image Classification]]></dc:title><dc:creator>Ibtissam  Banit'ouagua</dc:creator><dc:creator>Mounir Ait Kerroum</dc:creator><dc:creator>Ahmed  Hammouch</dc:creator><dc:identifier>doi:10.3844/jcssp.2018.1190.1201</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2018-09-04; | doi:10.3844/jcssp.2018.1190.1201</dc:source>
    <dc:date>2018-09-04</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2018.1190.1201</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2018.1190.1201</prism:url>
    </item></rdf:RDF>