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    <title><![CDATA[Measuring Satisfaction with Student Housing Facilities]]></title>
    <link>https://thescipub/abstract/ajeassp.2011.52.60</link>
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        <![CDATA[<p>American Journal of Engineering and Applied Sciences, Published online: 28 January 2011; <a href="https://thescipub.com/abstract/ajeassp.2011.52.60">doi:10.3844/ajeassp.2011.52.60</a></p>Problem statement: In the past decade, resident satisfaction has been used as an important indicator in evaluating student housing quality and services. This study investigates the level of resident s...]]></content:encoded>
    <dc:title><![CDATA[Measuring Satisfaction with Student Housing Facilities]]></dc:title><dc:creator>Nurul Ulyani Mohd Najib</dc:creator><dc:creator>Nor Aini Yusof</dc:creator><dc:creator>Zulkifli  Osman</dc:creator><dc:identifier>doi:10.3844/ajeassp.2011.52.60</dc:identifier>
    <dc:source>American Journal of Engineering and Applied Sciences, Published online: 2011-01-28; | doi:10.3844/ajeassp.2011.52.60</dc:source>
    <dc:date>2011-01-28</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/ajeassp.2011.52.60</prism:doi>
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    </item><item rdf:about="https://thescipub/abstract/ajeassp.2016.222.235">
    <title><![CDATA[Optimization and Prediction of Motorcycle Injection System Performance with Feed-Forward Back-Propagation Method Artificial Neural Network (ANN)]]></title>
    <link>https://thescipub/abstract/ajeassp.2016.222.235</link>
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        <![CDATA[<p>American Journal of Engineering and Applied Sciences, Published online: 16 February 2016; <a href="https://thescipub.com/abstract/ajeassp.2016.222.235">doi:10.3844/ajeassp.2016.222.235</a></p>This research studied the use of Artificial Neural Network (ANN) using feed-forward back-propagation model to optimize and predict the performance of a motorcycle fuel injection systems of gasoline. T...]]></content:encoded>
    <dc:title><![CDATA[Optimization and Prediction of Motorcycle Injection System Performance with Feed-Forward Back-Propagation Method Artificial Neural Network (ANN)]]></dc:title><dc:creator>La Ode Ichlas Syahrullah</dc:creator><dc:creator>Nazaruddin  Sinaga</dc:creator><dc:identifier>doi:10.3844/ajeassp.2016.222.235</dc:identifier>
    <dc:source>American Journal of Engineering and Applied Sciences, Published online: 2016-02-16; | doi:10.3844/ajeassp.2016.222.235</dc:source>
    <dc:date>2016-02-16</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/ajeassp.2016.222.235</prism:doi>
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    </item><item rdf:about="https://thescipub/abstract/ajeassp.2018.227.244">
    <title><![CDATA[Preliminary Design of a Power Transmission Shaft under Fatigue Loading Using ASME Code]]></title>
    <link>https://thescipub/abstract/ajeassp.2018.227.244</link>
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        <![CDATA[<p>American Journal of Engineering and Applied Sciences, Published online: 7 February 2018; <a href="https://thescipub.com/abstract/ajeassp.2018.227.244">doi:10.3844/ajeassp.2018.227.244</a></p>Power transmission shafting is a vital element of all rotating machinery. A complete shaft design involves many iterative phases and fundamental to this is the determination of preliminary dimensions ...]]></content:encoded>
    <dc:title><![CDATA[Preliminary Design of a Power Transmission Shaft under Fatigue Loading Using ASME Code]]></dc:title><dc:creator>Stephen K. Armah</dc:creator><dc:identifier>doi:10.3844/ajeassp.2018.227.244</dc:identifier>
    <dc:source>American Journal of Engineering and Applied Sciences, Published online: 2018-02-07; | doi:10.3844/ajeassp.2018.227.244</dc:source>
    <dc:date>2018-02-07</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/ajeassp.2018.227.244</prism:doi>
    <prism:url>https://thescipub/abstract/ajeassp.2018.227.244</prism:url>
    </item><item rdf:about="https://thescipub/abstract/ajeassp.2011.93.101">
    <title><![CDATA[Performance of IBS Precast Concrete Beam-Column Connections Under Earthquake Effects: A Literature Review]]></title>
    <link>https://thescipub/abstract/ajeassp.2011.93.101</link>
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        <![CDATA[<p>American Journal of Engineering and Applied Sciences, Published online: 31 January 2011; <a href="https://thescipub.com/abstract/ajeassp.2011.93.101">doi:10.3844/ajeassp.2011.93.101</a></p>Problem statement: Despite demonstrating rather much benefits comparing to the
conventional cast-in-place construction, the acceptance level of precast concrete building is still
reportedly low in M...]]></content:encoded>
    <dc:title><![CDATA[Performance of IBS Precast Concrete Beam-Column Connections Under Earthquake Effects: A Literature Review]]></dc:title><dc:creator>Patrick Tiong Liq Yee</dc:creator><dc:creator>Azlan Bin Adnan</dc:creator><dc:creator>Abdul Karim Mirasa</dc:creator><dc:creator>Ahmad Baharuddin Abdul Rahman</dc:creator><dc:identifier>doi:10.3844/ajeassp.2011.93.101</dc:identifier>
    <dc:source>American Journal of Engineering and Applied Sciences, Published online: 2011-01-31; | doi:10.3844/ajeassp.2011.93.101</dc:source>
    <dc:date>2011-01-31</dc:date>
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    <prism:doi>10.3844/ajeassp.2011.93.101</prism:doi>
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    </item><item rdf:about="https://thescipub/abstract/ajeassp.2008.302.311">
    <title><![CDATA[A Technical Review of Compressed Natural Gas as an Alternative Fuel for Internal Combustion Engines ]]></title>
    <link>https://thescipub/abstract/ajeassp.2008.302.311</link>
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        <![CDATA[<p>American Journal of Engineering and Applied Sciences, Published online: 31 December 2008; <a href="https://thescipub.com/abstract/ajeassp.2008.302.311">doi:10.3844/ajeassp.2008.302.311</a></p>Natural gas is promising alternative fuel to meet strict engine emission regulations in many countries. Compressed natural gas (CNG) has long been used in stationary engines, but the application of CN...]]></content:encoded>
    <dc:title><![CDATA[A Technical Review of Compressed Natural Gas as an Alternative Fuel for Internal Combustion Engines ]]></dc:title><dc:creator>  Semin</dc:creator><dc:creator>Rosli Abu Bakar</dc:creator><dc:identifier>doi:10.3844/ajeassp.2008.302.311</dc:identifier>
    <dc:source>American Journal of Engineering and Applied Sciences, Published online: 2008-12-31; | doi:10.3844/ajeassp.2008.302.311</dc:source>
    <dc:date>2008-12-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/ajeassp.2008.302.311</prism:doi>
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