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    Multi-Model Gait-Based KAM Prediction System Using LSTM-RNN and Wearable Devices by Doyun Jung, Cheolwon Lee, Heung Seok Jeon

    Published 2024-11-01
    “…Specifically, the RMSE for the Multi-model system was 6.84 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="normal">N</mi><mo>·</mo><mi mathvariant="normal">m</mi></mrow></semantics></math></inline-formula>, which is lower than the 8.82 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="normal">N</mi><mo>·</mo><mi mathvariant="normal">m</mi></mrow></semantics></math></inline-formula> of the Single-model system, indicating a better predictive accuracy. …”
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    Hyperspectral Prediction Models of Chlorophyll Content in <i>Paulownia</i> Leaves under Drought Stress by Yamei Zhang, Guangxin Ru, Zhenli Zhao, Decai Wang

    Published 2024-09-01
    “…Based on the prediction accuracy and the uniformity of different leaf positions, the optimal model was systematically explored. …”
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    A Starved Lubrication Model: Applications to Evaluate Gear Mesh and Response Prediction of Material Plasticity by Zhiyong Wang, Qingbing Dong, Bo Zhao

    Published 2024-11-01
    “…This study presents a model of starved mixed Elastohydrodynamic Lubrication (EHL) in point and line contact to investigate the lubrication performance and material response. …”
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