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<title>Volume 17, Issue 4 (2024) | American Journal of Engineering and Applied Sciences</title>
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    <title><![CDATA[Landslide Susceptibility Mapping with GIS in Nagi Dada Area of Panauti Municipality, Kavrepalanchwok District: A Comparison Between AHP and FR Method]]></title>
    <link>https://thescipub.com/ajeas/ajeassp.2024.155.168</link>
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        <![CDATA[<p>American Journal of Engineering and Applied Sciences, Published online: 22 August 2024; <a href="https://thescipub.com/ajeas/ajeassp.2024.155.168">doi:10.3844/ajeassp.2024.155.168</a></p>Landslide Susceptibility Maps (LSM) are useful for both development planning and disaster management. Currently, LSMs are primarily created using GIS and remote sensing techniques. Landslide susceptib...]]></content:encoded>
    <dc:title><![CDATA[Landslide Susceptibility Mapping with GIS in Nagi Dada Area of Panauti Municipality, Kavrepalanchwok District: A Comparison Between AHP and FR Method]]></dc:title><dc:creator>Arju  Bhattarai</dc:creator><dc:creator>HimLal  Shrestha</dc:creator><dc:creator>Asim  Timalsina</dc:creator><dc:creator>Sujan  Bista</dc:creator><dc:creator>Kishor  Rimal</dc:creator><dc:creator>Anushka  Gyawali</dc:creator><dc:identifier>doi:10.3844/ajeassp.2024.155.168</dc:identifier>
    <dc:source>American Journal of Engineering and Applied Sciences, Published online: 2024-08-22; | doi:10.3844/ajeassp.2024.155.168</dc:source>
    <dc:date>2024-08-22</dc:date>
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    <prism:doi>10.3844/ajeassp.2024.155.168</prism:doi>
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    </item><item rdf:about="https://thescipub.com/ajeas/ajeassp.2024.169.179">
    <title><![CDATA[Analyzing Temperature-Dependent Thermal Properties of Titanium Aluminide Using ANN Predictive Modeling]]></title>
    <link>https://thescipub.com/ajeas/ajeassp.2024.169.179</link>
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        <![CDATA[<p>American Journal of Engineering and Applied Sciences, Published online: 20 November 2024; <a href="https://thescipub.com/ajeas/ajeassp.2024.169.179">doi:10.3844/ajeassp.2024.169.179</a></p>This study presents a comprehensive analysis of the thermal behavior of Titanium Aluminide (TiAl) across a range of temperatures using an Artificial Neural Network (ANN) predictive model. The study in...]]></content:encoded>
    <dc:title><![CDATA[Analyzing Temperature-Dependent Thermal Properties of Titanium Aluminide Using ANN Predictive Modeling]]></dc:title><dc:creator>Armaghan  Shalbaftabar</dc:creator><dc:creator>Kristen  Rhinehardt</dc:creator><dc:creator>Dhananjay  Kumar</dc:creator><dc:identifier>doi:10.3844/ajeassp.2024.169.179</dc:identifier>
    <dc:source>American Journal of Engineering and Applied Sciences, Published online: 2024-11-20; | doi:10.3844/ajeassp.2024.169.179</dc:source>
    <dc:date>2024-11-20</dc:date>
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    <prism:doi>10.3844/ajeassp.2024.169.179</prism:doi>
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    </item><item rdf:about="https://thescipub.com/ajeas/ajeassp.2024.180.190">
    <title><![CDATA[Assessing the Potential of Tidal Power Plants in Sub-Saharan Africa]]></title>
    <link>https://thescipub.com/ajeas/ajeassp.2024.180.190</link>
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        <![CDATA[<p>American Journal of Engineering and Applied Sciences, Published online: 20 November 2024; <a href="https://thescipub.com/ajeas/ajeassp.2024.180.190">doi:10.3844/ajeassp.2024.180.190</a></p>This study assesses the potential of tidal power plants in Sub-Saharan Africa (SSA), an area with considerable yet untapped renewable energy resources. Leveraging previous research and technological a...]]></content:encoded>
    <dc:title><![CDATA[Assessing the Potential of Tidal Power Plants in Sub-Saharan Africa]]></dc:title><dc:creator>Adeyinka Victor Adebayo</dc:creator><dc:creator>Samuel  Oladeji</dc:creator><dc:creator>Hussein Kehinde Adebayo</dc:creator><dc:creator>Ismaheel Oyeyemi Oladejo</dc:creator><dc:identifier>doi:10.3844/ajeassp.2024.180.190</dc:identifier>
    <dc:source>American Journal of Engineering and Applied Sciences, Published online: 2024-11-20; | doi:10.3844/ajeassp.2024.180.190</dc:source>
    <dc:date>2024-11-20</dc:date>
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    <prism:doi>10.3844/ajeassp.2024.180.190</prism:doi>
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    <title><![CDATA[A Mathematical Modeling of the Turbulence Combustion Biodiesel in a Compression Ignition Engine: Theoretical Framework]]></title>
    <link>https://thescipub.com/ajeas/ajeassp.2024.191.199</link>
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        <![CDATA[<p>American Journal of Engineering and Applied Sciences, Published online: 30 September 2024; <a href="https://thescipub.com/ajeas/ajeassp.2024.191.199">doi:10.3844/ajeassp.2024.191.199</a></p>The present work proposes a new model for biodiesel combustion in an internal combustion engine. This model first includes the balance equations of gas dynamics with heat release. Secondly, a model wi...]]></content:encoded>
    <dc:title><![CDATA[A Mathematical Modeling of the Turbulence Combustion Biodiesel in a Compression Ignition Engine: Theoretical Framework]]></dc:title><dc:creator>Francis Mouzong Bongne</dc:creator><dc:creator>Francis Mouzong Bongne</dc:creator><dc:creator>Zacharie Merlin Ayissi</dc:creator><dc:creator>Zacharie Merlin Ayissi</dc:creator><dc:creator>Zacharie Merlin Ayissi</dc:creator><dc:creator>Bencher  Mohamed</dc:creator><dc:creator>Marcel Brice Obounou Akong</dc:creator><dc:identifier>doi:10.3844/ajeassp.2024.191.199</dc:identifier>
    <dc:source>American Journal of Engineering and Applied Sciences, Published online: 2024-09-30; | doi:10.3844/ajeassp.2024.191.199</dc:source>
    <dc:date>2024-09-30</dc:date>
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    <prism:doi>10.3844/ajeassp.2024.191.199</prism:doi>
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    </item><item rdf:about="https://thescipub.com/ajeas/ajeassp.2024.200.226">
    <title><![CDATA[Autoregressive Integrate Mean Average as Approaches for Modeling Energy Production in the Electricity Network by Seasons of the Electric Energy Company in Lomé, Togo]]></title>
    <link>https://thescipub.com/ajeas/ajeassp.2024.200.226</link>
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        <![CDATA[<p>American Journal of Engineering and Applied Sciences, Published online: 20 December 2024; <a href="https://thescipub.com/ajeas/ajeassp.2024.200.226">doi:10.3844/ajeassp.2024.200.226</a></p>The work accumulated in this article presents the results of modeling the tduction of electrical energy for the CEET network in Lomé, Togo, taking into account the seasons of the area. The objective ...]]></content:encoded>
    <dc:title><![CDATA[Autoregressive Integrate Mean Average as Approaches for Modeling Energy Production in the Electricity Network by Seasons of the Electric Energy Company in Lomé, Togo]]></dc:title><dc:creator>Apaloo Bara Komla Kpomonè</dc:creator><dc:creator>Apaloo Bara Komla Kpomonè</dc:creator><dc:creator>Apaloo Bara Komla Kpomonè</dc:creator><dc:creator>Bokovi  Yao</dc:creator><dc:creator>Bokovi  Yao</dc:creator><dc:creator>Bokovi  Yao</dc:creator><dc:creator>Ghafi Kondi-Akara Victoire</dc:creator><dc:creator>Moro Ouma Cecil Naphtaly</dc:creator><dc:identifier>doi:10.3844/ajeassp.2024.200.226</dc:identifier>
    <dc:source>American Journal of Engineering and Applied Sciences, Published online: 2024-12-20; | doi:10.3844/ajeassp.2024.200.226</dc:source>
    <dc:date>2024-12-20</dc:date>
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    <prism:doi>10.3844/ajeassp.2024.200.226</prism:doi>
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