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<title>Volume 16, Issue 10 (2020) | Journal of Computer Science</title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 3 October 2020; <a href="https://thescipub.com/jcs/jcssp.2020.1334.1345">doi:10.3844/jcssp.2020.1334.1345</a></p>Authorship Attribution (AA) is a task that aims to recognize the authorship of unknown texts based on writing style. Out of the various approaches to solve the AA problem, Stylometry is a promising on...]]></content:encoded>
    <dc:title><![CDATA[Authorship Attribution of Short Historical Arabic Texts using Stylometric Features and a KNN Classifier with Limited Training Data]]></dc:title><dc:creator>Fatma  Howedi</dc:creator><dc:creator>Masnizah  Mohd</dc:creator><dc:creator>Zahra Aborawi Aborawi</dc:creator><dc:creator>Salah A. Jowan</dc:creator><dc:identifier>doi:10.3844/jcssp.2020.1334.1345</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2020-10-03; | doi:10.3844/jcssp.2020.1334.1345</dc:source>
    <dc:date>2020-10-03</dc:date>
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    <title><![CDATA[Critical Barriers in Software Outsourcing Vendor Organizations and Their Impacts on Software Outsourcing Clients: A Systematic Literature Review]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 5 October 2020; <a href="https://thescipub.com/jcs/jcssp.2020.1346.1354">doi:10.3844/jcssp.2020.1346.1354</a></p>Globalization and technological advancement have driven up the demand for software as many enterprises seek to gain a competitive edge through efficient business operations. Whereas software provides ...]]></content:encoded>
    <dc:title><![CDATA[Critical Barriers in Software Outsourcing Vendor Organizations and Their Impacts on Software Outsourcing Clients: A Systematic Literature Review]]></dc:title><dc:creator>Ismail  Keshta</dc:creator><dc:creator>Ammar  Odeh</dc:creator><dc:identifier>doi:10.3844/jcssp.2020.1346.1354</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2020-10-05; | doi:10.3844/jcssp.2020.1346.1354</dc:source>
    <dc:date>2020-10-05</dc:date>
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    <title><![CDATA[Adopting Intelligent Modelling to Trace Fault in Underground Optical Network: A Comprehensive Survey]]></title>
    <link>https://thescipub.com/jcs/jcssp.2020.1355.1366</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 13 October 2020; <a href="https://thescipub.com/jcs/jcssp.2020.1355.1366">doi:10.3844/jcssp.2020.1355.1366</a></p>Aiming at building new global optical network infrastructure optimized with fault tracing capabilities, light transmission monitoring, packets re-routing and reconfigurations require an intelligent op...]]></content:encoded>
    <dc:title><![CDATA[Adopting Intelligent Modelling to Trace Fault in Underground Optical Network: A Comprehensive Survey]]></dc:title><dc:creator>Owusu  Nyarko-Boateng</dc:creator><dc:creator>Adebayo F. Adekoya</dc:creator><dc:creator>Benjamin A. Weyori</dc:creator><dc:identifier>doi:10.3844/jcssp.2020.1355.1366</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2020-10-13; | doi:10.3844/jcssp.2020.1355.1366</dc:source>
    <dc:date>2020-10-13</dc:date>
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    <title><![CDATA[SCUTMA: Selecting Components for Unit Testing in Mobile Applications]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 15 October 2020; <a href="https://thescipub.com/jcs/jcssp.2020.1367.1392">doi:10.3844/jcssp.2020.1367.1392</a></p>Context The source code of a mobile application has several components (i.e., code units) and they have a cost (e.g., test creation and execution) and benefit (e.g., find bug) value for performing uni...]]></content:encoded>
    <dc:title><![CDATA[SCUTMA: Selecting Components for Unit Testing in Mobile Applications]]></dc:title><dc:creator>Josias  Gomes</dc:creator><dc:creator>Isabel K. Villanes</dc:creator><dc:creator>Silvia M. Ascate</dc:creator><dc:creator>Awdren  Fontão</dc:creator><dc:creator>Eduardo Noronha de Andrade Freitas</dc:creator><dc:creator>Arilo Claudio Dias-Neto</dc:creator><dc:identifier>doi:10.3844/jcssp.2020.1367.1392</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2020-10-15; | doi:10.3844/jcssp.2020.1367.1392</dc:source>
    <dc:date>2020-10-15</dc:date>
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    <prism:doi>10.3844/jcssp.2020.1367.1392</prism:doi>
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    <title><![CDATA[Using Expert Evaluation to Assess the Implementation of Persuasive Design in e-Commerce]]></title>
    <link>https://thescipub.com/jcs/jcssp.2020.1393.1400</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 18 October 2020; <a href="https://thescipub.com/jcs/jcssp.2020.1393.1400">doi:10.3844/jcssp.2020.1393.1400</a></p>It has been argued that the use of persuasive design in e-commerce applications has a positive impact on user behavior and on converting browsers into buyers. Effective e-commerce applications success...]]></content:encoded>
    <dc:title><![CDATA[Using Expert Evaluation to Assess the Implementation of Persuasive Design in e-Commerce]]></dc:title><dc:creator>Amjad  Al-mutairi</dc:creator><dc:creator>Majed  Alshamari</dc:creator><dc:identifier>doi:10.3844/jcssp.2020.1393.1400</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2020-10-18; | doi:10.3844/jcssp.2020.1393.1400</dc:source>
    <dc:date>2020-10-18</dc:date>
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    <prism:doi>10.3844/jcssp.2020.1393.1400</prism:doi>
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    <title><![CDATA[Comparative Analysis of Deep Learning Models for Multi-Step Prediction of Financial Time Series]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 27 October 2020; <a href="https://thescipub.com/jcs/jcssp.2020.1401.1416">doi:10.3844/jcssp.2020.1401.1416</a></p>Financial time series prediction has been a key topic of interest among researchers considering the complexity of the domain and also due to its significant impact on a wide range of applications. In ...]]></content:encoded>
    <dc:title><![CDATA[Comparative Analysis of Deep Learning Models for Multi-Step Prediction of Financial Time Series]]></dc:title><dc:creator>Saugat  Aryal</dc:creator><dc:creator>Dheynoshan  Nadarajah</dc:creator><dc:creator>Prabath Lakmal Rupasinghe</dc:creator><dc:creator>Chandimal  Jayawardena</dc:creator><dc:creator>Dharshana  Kasthurirathna</dc:creator><dc:identifier>doi:10.3844/jcssp.2020.1401.1416</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2020-10-27; | doi:10.3844/jcssp.2020.1401.1416</dc:source>
    <dc:date>2020-10-27</dc:date>
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    <prism:doi>10.3844/jcssp.2020.1401.1416</prism:doi>
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    <title><![CDATA[Classification Algorithm in Predicting the Diabetes in Early Stages]]></title>
    <link>https://thescipub.com/jcs/jcssp.2020.1417.1422</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 24 October 2020; <a href="https://thescipub.com/jcs/jcssp.2020.1417.1422">doi:10.3844/jcssp.2020.1417.1422</a></p>Diabetes is a standout amongst the deadliest and Chronical diseases which can increase the blood sugar in the human body. Diabetes gives several complications if it is not diagnosed and treated where ...]]></content:encoded>
    <dc:title><![CDATA[Classification Algorithm in Predicting the Diabetes in Early Stages]]></dc:title><dc:creator>Subitha  Sivakumar</dc:creator><dc:creator>Sivakumar  Venkataraman</dc:creator><dc:creator>Asherl  Bwatiramba</dc:creator><dc:identifier>doi:10.3844/jcssp.2020.1417.1422</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2020-10-24; | doi:10.3844/jcssp.2020.1417.1422</dc:source>
    <dc:date>2020-10-24</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2020.1417.1422</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2020.1423.1427">
    <title><![CDATA[Android Based Tourism Guide for Benishangul-Gumuz Region, Ethiopia]]></title>
    <link>https://thescipub.com/jcs/jcssp.2020.1423.1427</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 25 October 2020; <a href="https://thescipub.com/jcs/jcssp.2020.1423.1427">doi:10.3844/jcssp.2020.1423.1427</a></p>Benishangul Gumuz is one of the regions which have a potential of tourism in Ethiopia. In order to visit the region tourists have to go to tour operators office or must have a printed guide booklet of...]]></content:encoded>
    <dc:title><![CDATA[Android Based Tourism Guide for Benishangul-Gumuz Region, Ethiopia]]></dc:title><dc:creator>Abeselom Befekadu Wolde</dc:creator><dc:creator>Yimer Amedie Muhie</dc:creator><dc:identifier>doi:10.3844/jcssp.2020.1423.1427</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2020-10-25; | doi:10.3844/jcssp.2020.1423.1427</dc:source>
    <dc:date>2020-10-25</dc:date>
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    <prism:doi>10.3844/jcssp.2020.1423.1427</prism:doi>
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    <title><![CDATA[Predicting Support and Resistance Indicators for Stock Market with Fibonacci Sequence in Long Short-Term Memory]]></title>
    <link>https://thescipub.com/jcs/jcssp.2020.1428.1438</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 28 October 2020; <a href="https://thescipub.com/jcs/jcssp.2020.1428.1438">doi:10.3844/jcssp.2020.1428.1438</a></p>Predictive data analytics is a branch of data analytics where models are designed that effectively interpret; anticipate outcomes by analyzing present data to make predictions about future. One of the...]]></content:encoded>
    <dc:title><![CDATA[Predicting Support and Resistance Indicators for Stock Market with Fibonacci Sequence in Long Short-Term Memory]]></dc:title><dc:creator>Thambusamy  Velmurugan</dc:creator><dc:creator>Thiruvalluvan  Indhumathy</dc:creator><dc:identifier>doi:10.3844/jcssp.2020.1428.1438</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2020-10-28; | doi:10.3844/jcssp.2020.1428.1438</dc:source>
    <dc:date>2020-10-28</dc:date>
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    <title><![CDATA[Security based Approach of SHA 384 and SHA 512 Algorithms in Cloud Environment]]></title>
    <link>https://thescipub.com/jcs/jcssp.2020.1439.1450</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 28 October 2020; <a href="https://thescipub.com/jcs/jcssp.2020.1439.1450">doi:10.3844/jcssp.2020.1439.1450</a></p>Cloud computing is going to be the next big thing in the era of internet world. As the world moves ahead towards enhancement of the cloud features we also have to take a serious consideration of the e...]]></content:encoded>
    <dc:title><![CDATA[Security based Approach of SHA 384 and SHA 512 Algorithms in Cloud Environment]]></dc:title><dc:creator>Thambusamy  Velmurugan</dc:creator><dc:creator>Sivakumar  Karthiga</dc:creator><dc:identifier>doi:10.3844/jcssp.2020.1439.1450</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2020-10-28; | doi:10.3844/jcssp.2020.1439.1450</dc:source>
    <dc:date>2020-10-28</dc:date>
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    <prism:doi>10.3844/jcssp.2020.1439.1450</prism:doi>
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    <title><![CDATA[Towards a Frame of Reference for Smart City Strategy Development and Governance]]></title>
    <link>https://thescipub.com/jcs/jcssp.2020.1451.1464</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 28 October 2020; <a href="https://thescipub.com/jcs/jcssp.2020.1451.1464">doi:10.3844/jcssp.2020.1451.1464</a></p>Despite the importance of the smart city concept, few works address how to define and implement smart cities in a clear manner. Furthermore, the smart city literature provides heterogeneous studies an...]]></content:encoded>
    <dc:title><![CDATA[Towards a Frame of Reference for Smart City Strategy Development and Governance]]></dc:title><dc:creator>Zineb  Korachi</dc:creator><dc:creator>Bouchaib  Bounabat</dc:creator><dc:identifier>doi:10.3844/jcssp.2020.1451.1464</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2020-10-28; | doi:10.3844/jcssp.2020.1451.1464</dc:source>
    <dc:date>2020-10-28</dc:date>
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    <prism:doi>10.3844/jcssp.2020.1451.1464</prism:doi>
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    <title><![CDATA[Transfer Learning in Attack Avoidance Games]]></title>
    <link>https://thescipub.com/jcs/jcssp.2020.1465.1476</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 13 November 2020; <a href="https://thescipub.com/jcs/jcssp.2020.1465.1476">doi:10.3844/jcssp.2020.1465.1476</a></p>Transfer knowledge is a human characteristic that has been replicated in machine learning algorithms to improve learning performance measures. However, little success has been accomplished in reinforc...]]></content:encoded>
    <dc:title><![CDATA[Transfer Learning in Attack Avoidance Games]]></dc:title><dc:creator>Edwin  Torres</dc:creator><dc:creator>Fernando  Lozano</dc:creator><dc:identifier>doi:10.3844/jcssp.2020.1465.1476</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2020-11-13; | doi:10.3844/jcssp.2020.1465.1476</dc:source>
    <dc:date>2020-11-13</dc:date>
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    <prism:doi>10.3844/jcssp.2020.1465.1476</prism:doi>
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    <title><![CDATA[An Enhanced Dynamic Source Routing Algorithm for the Mobile Ad-Hoc Network using Reinforcement learning under the COVID-19 Conditions]]></title>
    <link>https://thescipub.com/jcs/jcssp.2020.1477.1490</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 31 October 2020; <a href="https://thescipub.com/jcs/jcssp.2020.1477.1490">doi:10.3844/jcssp.2020.1477.1490</a></p>Today, the use of computer networks is evident in all walks of life, including mobile phones, vehicles, personal computers, the workplace and more. Creating and operating networks between each of the ...]]></content:encoded>
    <dc:title><![CDATA[An Enhanced Dynamic Source Routing Algorithm for the Mobile Ad-Hoc Network using Reinforcement learning under the COVID-19 Conditions]]></dc:title><dc:creator>Ehsan  Moqimi</dc:creator><dc:creator>Amir  Najafi</dc:creator><dc:creator>Mojtaba  Ajami</dc:creator><dc:identifier>doi:10.3844/jcssp.2020.1477.1490</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2020-10-31; | doi:10.3844/jcssp.2020.1477.1490</dc:source>
    <dc:date>2020-10-31</dc:date>
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    <title><![CDATA[A Hybrid Approach of Texture Feature and Gradient Orientation for Computer Aided Diagnosis System Based on Breast Density Classification]]></title>
    <link>https://thescipub.com/jcs/jcssp.2020.1491.1500</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 1 November 2020; <a href="https://thescipub.com/jcs/jcssp.2020.1491.1500">doi:10.3844/jcssp.2020.1491.1500</a></p>A Computer-Aided Diagnosis (CAD) system can perform an accurate diagnosis and help radiologists by presenting a second opinion about breast density. However, the development of a robust CAD system for...]]></content:encoded>
    <dc:title><![CDATA[A Hybrid Approach of Texture Feature and Gradient Orientation for Computer Aided Diagnosis System Based on Breast Density Classification]]></dc:title><dc:creator>Nujum  Alabdulali</dc:creator><dc:creator>Alanod Bin Dris</dc:creator><dc:creator>Fatimah  Alqahtani</dc:creator><dc:creator>Aseel Bin Othman</dc:creator><dc:identifier>doi:10.3844/jcssp.2020.1491.1500</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2020-11-01; | doi:10.3844/jcssp.2020.1491.1500</dc:source>
    <dc:date>2020-11-01</dc:date>
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