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<title>Volume 18, Issue 1 (2025) | American Journal of Engineering and Applied Sciences</title>
<description>Volume 18, Issue 1 (2025) | American Journal of Engineering and Applied Sciences</description>
<link>https://thescipub.com/ajeas/issue/1488</link>
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    <title><![CDATA[Geomagnetic Anomalies: Lineaments]]></title>
    <link>https://thescipub.com/ajeas/ajeassp.2025.1.10</link>
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        <![CDATA[<p>American Journal of Engineering and Applied Sciences, Published online: 2 January 2025; <a href="https://thescipub.com/ajeas/ajeassp.2025.1.10">doi:10.3844/ajeassp.2025.1.10</a></p>Geomagnetic anomaly maps can be interpreted according to either (i) To the electromagnetic (e.m.) Induction by the solar wind that generates telluric currents aimed to oppose the geomagnetic field ori...]]></content:encoded>
    <dc:title><![CDATA[Geomagnetic Anomalies: Lineaments]]></dc:title><dc:creator>Giovanni Pietro Gregori</dc:creator><dc:creator>Bruce Allen Leybourne</dc:creator><dc:creator>Ugo  Coppa</dc:creator><dc:creator>Giuseppe  Luongo</dc:creator><dc:identifier>doi:10.3844/ajeassp.2025.1.10</dc:identifier>
    <dc:source>American Journal of Engineering and Applied Sciences, Published online: 2025-01-02; | doi:10.3844/ajeassp.2025.1.10</dc:source>
    <dc:date>2025-01-02</dc:date>
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    <prism:doi>10.3844/ajeassp.2025.1.10</prism:doi>
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    </item><item rdf:about="https://thescipub.com/ajeas/ajeassp.2025.11.27">
    <title><![CDATA[Analysis of the Operation of DC Interconnected Households PV under Weather Conditions]]></title>
    <link>https://thescipub.com/ajeas/ajeassp.2025.11.27</link>
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        <![CDATA[<p>American Journal of Engineering and Applied Sciences, Published online: 4 January 2025; <a href="https://thescipub.com/ajeas/ajeassp.2025.11.27">doi:10.3844/ajeassp.2025.11.27</a></p>Installing Photovoltaic (PV) systems is becoming a viable solution for rural areas, with an innovative approach consisting of interconnecting autonomous PV-powered households. This study analyses the ...]]></content:encoded>
    <dc:title><![CDATA[Analysis of the Operation of DC Interconnected Households PV under Weather Conditions]]></dc:title><dc:creator>Gilbert  Ngoma</dc:creator><dc:creator>Gilbert  Ngoma</dc:creator><dc:creator>Maryse Dadina Nkoua Ngavouka</dc:creator><dc:creator>Maryse Dadina Nkoua Ngavouka</dc:creator><dc:creator>Azeddine  Houari</dc:creator><dc:creator>Léonide  Messo</dc:creator><dc:creator>Bernard  M’Passi-Mabiala</dc:creator><dc:creator>Bernard  M’Passi-Mabiala</dc:creator><dc:identifier>doi:10.3844/ajeassp.2025.11.27</dc:identifier>
    <dc:source>American Journal of Engineering and Applied Sciences, Published online: 2025-01-04; | doi:10.3844/ajeassp.2025.11.27</dc:source>
    <dc:date>2025-01-04</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/ajeassp.2025.11.27</prism:doi>
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    </item><item rdf:about="https://thescipub.com/ajeas/ajeassp.2025.28.38">
    <title><![CDATA[Economic Evaluation of Standalone Hybrid PV–H2 with Storage System]]></title>
    <link>https://thescipub.com/ajeas/ajeassp.2025.28.38</link>
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        <![CDATA[<p>American Journal of Engineering and Applied Sciences, Published online: 4 March 2025; <a href="https://thescipub.com/ajeas/ajeassp.2025.28.38">doi:10.3844/ajeassp.2025.28.38</a></p>This study evaluates the economic performance of a standalone hybrid PV-H2 system with battery storage for small-scale electricity demand. The methodology involves comparing various configurations of ...]]></content:encoded>
    <dc:title><![CDATA[Economic Evaluation of Standalone Hybrid PV–H2 with Storage System]]></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.2025.28.38</dc:identifier>
    <dc:source>American Journal of Engineering and Applied Sciences, Published online: 2025-03-04; | doi:10.3844/ajeassp.2025.28.38</dc:source>
    <dc:date>2025-03-04</dc:date>
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    <prism:doi>10.3844/ajeassp.2025.28.38</prism:doi>
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    </item><item rdf:about="https://thescipub.com/ajeas/ajeassp.2025.39.46">
    <title><![CDATA[Numerical Investigation of the Impact of Punch Speed on the Deep Drawing of Square Aluminum Sheet Using Finite Element Method]]></title>
    <link>https://thescipub.com/ajeas/ajeassp.2025.39.46</link>
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        <![CDATA[<p>American Journal of Engineering and Applied Sciences, Published online: 6 February 2025; <a href="https://thescipub.com/ajeas/ajeassp.2025.39.46">doi:10.3844/ajeassp.2025.39.46</a></p>This study examines the Deep Drawing Process (DDP) of square aluminum sheets, emphasizing its applications across various industries, including medical devices. The process is simulated using ABAQUS f...]]></content:encoded>
    <dc:title><![CDATA[Numerical Investigation of the Impact of Punch Speed on the Deep Drawing of Square Aluminum Sheet Using Finite Element Method]]></dc:title><dc:creator>Ehsan   Hedayati</dc:creator><dc:creator>Arefeh   Hedayati</dc:creator><dc:creator>Mohammad   Vahedi</dc:creator><dc:creator>Shirko    Faroughi</dc:creator><dc:identifier>doi:10.3844/ajeassp.2025.39.46</dc:identifier>
    <dc:source>American Journal of Engineering and Applied Sciences, Published online: 2025-02-06; | doi:10.3844/ajeassp.2025.39.46</dc:source>
    <dc:date>2025-02-06</dc:date>
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    <prism:doi>10.3844/ajeassp.2025.39.46</prism:doi>
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    </item><item rdf:about="https://thescipub.com/ajeas/ajeassp.2025.47.54">
    <title><![CDATA[Machine Learning-Based Traffic Prediction in 4G LTE Networks. Case Study of a Mobile Operator in Cameroon]]></title>
    <link>https://thescipub.com/ajeas/ajeassp.2025.47.54</link>
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        <![CDATA[<p>American Journal of Engineering and Applied Sciences, Published online: 1 March 2025; <a href="https://thescipub.com/ajeas/ajeassp.2025.47.54">doi:10.3844/ajeassp.2025.47.54</a></p>Mobile subscribers are increasingly demanding the availability of broadband services while the radio resources allowing them to be connected are limited. Understanding mobile Internet consumption tren...]]></content:encoded>
    <dc:title><![CDATA[Machine Learning-Based Traffic Prediction in 4G LTE Networks. Case Study of a Mobile Operator in Cameroon]]></dc:title><dc:creator>Eric Michel Deussom Djomadji</dc:creator><dc:creator>Eric Michel Deussom Djomadji</dc:creator><dc:creator>Valery  Nkemeni</dc:creator><dc:creator>Tchagna Kouanou Aurelle</dc:creator><dc:creator>Tchagna Kouanou Aurelle</dc:creator><dc:creator>Michael  Issikamle</dc:creator><dc:identifier>doi:10.3844/ajeassp.2025.47.54</dc:identifier>
    <dc:source>American Journal of Engineering and Applied Sciences, Published online: 2025-03-01; | doi:10.3844/ajeassp.2025.47.54</dc:source>
    <dc:date>2025-03-01</dc:date>
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    <prism:doi>10.3844/ajeassp.2025.47.54</prism:doi>
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    </item><item rdf:about="https://thescipub.com/ajeas/ajeassp.2025.55.66">
    <title><![CDATA[Ecological Function Evaluation of Soil and Water Conservation Measures for Power Transmission and Transformation Project Construction Based on Remote Sensing and it’s Improvement Path]]></title>
    <link>https://thescipub.com/ajeas/ajeassp.2025.55.66</link>
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        <![CDATA[<p>American Journal of Engineering and Applied Sciences, Published online: 17 March 2025; <a href="https://thescipub.com/ajeas/ajeassp.2025.55.66">doi:10.3844/ajeassp.2025.55.66</a></p>Assessing ecological functions is critical for determining the efficacy of soil and water conservation measures, especially during the development of power transmission and transformation projects. Ef...]]></content:encoded>
    <dc:title><![CDATA[Ecological Function Evaluation of Soil and Water Conservation Measures for Power Transmission and Transformation Project Construction Based on Remote Sensing and it’s Improvement Path]]></dc:title><dc:creator>Yang  Han</dc:creator><dc:creator>Songsong  Wang</dc:creator><dc:creator>Yanhui  Yang</dc:creator><dc:creator>Xing  Rong</dc:creator><dc:creator>Zhang  Zhaokun</dc:creator><dc:creator>Wang  Haoran</dc:creator><dc:identifier>doi:10.3844/ajeassp.2025.55.66</dc:identifier>
    <dc:source>American Journal of Engineering and Applied Sciences, Published online: 2025-03-17; | doi:10.3844/ajeassp.2025.55.66</dc:source>
    <dc:date>2025-03-17</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/ajeassp.2025.55.66</prism:doi>
    <prism:url>https://thescipub.com/ajeas/ajeassp.2025.55.66</prism:url>
    </item><item rdf:about="https://thescipub.com/ajeas/ajeassp.2025.67.88">
    <title><![CDATA[Analyzing Temperature-Dependent Thermal Properties of Biomaterials Using Machine Learning Methods]]></title>
    <link>https://thescipub.com/ajeas/ajeassp.2025.67.88</link>
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        <![CDATA[<p>American Journal of Engineering and Applied Sciences, Published online: 12 September 2025; <a href="https://thescipub.com/ajeas/ajeassp.2025.67.88">doi:10.3844/ajeassp.2025.67.88</a></p>This research utilizes machine learning models ANN, Random Forest, and Decision Tree to predict material properties of Ti-based biomaterials, including Young’s modulus, density, thermal conductivity...]]></content:encoded>
    <dc:title><![CDATA[Analyzing Temperature-Dependent Thermal Properties of Biomaterials Using Machine Learning Methods]]></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.2025.67.88</dc:identifier>
    <dc:source>American Journal of Engineering and Applied Sciences, Published online: 2025-09-12; | doi:10.3844/ajeassp.2025.67.88</dc:source>
    <dc:date>2025-09-12</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/ajeassp.2025.67.88</prism:doi>
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    </item><item rdf:about="https://thescipub.com/ajeas/ajeassp.2025.89.97">
    <title><![CDATA[An Investigation of Mold Cavity Pressure of Self-Clamping Molds During Solid Tire Manufacturing]]></title>
    <link>https://thescipub.com/ajeas/ajeassp.2025.89.97</link>
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        <![CDATA[<p>American Journal of Engineering and Applied Sciences, Published online: 2 October 2025; <a href="https://thescipub.com/ajeas/ajeassp.2025.89.97">doi:10.3844/ajeassp.2025.89.97</a></p>This study investigates the mold cavity pressure in self-clamping molds used for solid tire manufacturing, a sector where Sri Lanka is a leading global supplier. Our research presents a detailed inves...]]></content:encoded>
    <dc:title><![CDATA[An Investigation of Mold Cavity Pressure of Self-Clamping Molds During Solid Tire Manufacturing]]></dc:title><dc:creator>Sadeep Amantha Mawathage</dc:creator><dc:creator>Jayashingha Arachchige Indika Sanjeewa</dc:creator><dc:creator>Nirosh Dilruk Jayaweera</dc:creator><dc:identifier>doi:10.3844/ajeassp.2025.89.97</dc:identifier>
    <dc:source>American Journal of Engineering and Applied Sciences, Published online: 2025-10-02; | doi:10.3844/ajeassp.2025.89.97</dc:source>
    <dc:date>2025-10-02</dc:date>
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    <prism:doi>10.3844/ajeassp.2025.89.97</prism:doi>
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    </item><item rdf:about="https://thescipub.com/ajeas/ajeassp.2025.98.106">
    <title><![CDATA[Comparative Analysis of Laboratory Measured and PVTP Software Data]]></title>
    <link>https://thescipub.com/ajeas/ajeassp.2025.98.106</link>
    <content:encoded>
        <![CDATA[<p>American Journal of Engineering and Applied Sciences, Published online: 20 December 2025; <a href="https://thescipub.com/ajeas/ajeassp.2025.98.106">doi:10.3844/ajeassp.2025.98.106</a></p>Cubic Equations of State (EOS), including the Peng-Robinson (PR) and Soave-Redlich-Kwong (SRK) models, are foundational in petroleum engineering for modeling the thermodynamic behavior of hydrocarbon ...]]></content:encoded>
    <dc:title><![CDATA[Comparative Analysis of Laboratory Measured and PVTP Software Data]]></dc:title><dc:creator>Oluwasanmi Samuel Teniola</dc:creator><dc:creator>Mercy Isaiah Okegbemi</dc:creator><dc:identifier>doi:10.3844/ajeassp.2025.98.106</dc:identifier>
    <dc:source>American Journal of Engineering and Applied Sciences, Published online: 2025-12-20; | doi:10.3844/ajeassp.2025.98.106</dc:source>
    <dc:date>2025-12-20</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/ajeassp.2025.98.106</prism:doi>
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