Showing 41 - 60 results of 804 for search 'east algorithm', query time: 0.05s Refine Results
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    An exploratory study of high-educated poverty through machine learning approach: a case study of East Java, Indonesia by Dias Satria, Risti Permani, Kodrad Winarno, David Kaluge, Citra Rahayu Indraswari, Radityo Putro Handrito

    Published 2025-03-01
    “… Purpose – the purpose of the article is to compare the importance factors for high-educated poverty modeling in the four cultural regions of East Java.  Research methodology – using data from the Indonesian National Survey, this study employs Random Forest (RF), Extreme Gradient Boosting (XGBoost), Artificial Neural Network (ANN), and K-Nearest Neighbor (KNN) algorithms as classification methods in machine learning.  …”
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    Trajectory Estimation Filtering Algorithm for Underwater Equipment Based on UKF by CHEN Ziyue, JI Fuwu, ZHOU Wei

    Published 2025-01-01
    “…The underwater equipment carried by the East China Sea seabed observation network is often lost due to human activities. …”
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    COMPARISON OF RANDOM FOREST AND NAÏVE BAYES METHODS FOR CLASSIFYING AND FORECASTING SOIL TEXTURE IN THE AREA AROUND DAS KALIKONTO, EAST JAVA by Henny Pramoedyo, Danang Ariyanto, Novi Nur Aini

    Published 2022-12-01
    “…This research was conducted in the area around Kalikonto River Basin, East Java Province. The performance-based tests show that the RF algorithm provides higher accuracy in predicting soil texture based on the Digital Elevation Model (DEM). …”
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