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  1. 41

    Hyperparameter Optimization of ANN, SVM, and KNN Models for Classification of Hazelnuts Images Based on Shell Cracks and Feature Selection Method by H. Bagherpour, F. Fatehi, A. Shojaeian, R. Bagherpour

    Published 2025-03-01
    “…The results indicated that the SFFS method had a greater effect on improving the performance of the models than the PCA method. …”
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    Article
  2. 42

    Coupled Dynamics Modeling and Validation of Maglev Vehicle and Bridge Systems by Fei Zhou, Xiaolong Li

    Published 2025-02-01
    “…Using the modal reduction method, the bridge finite element model is imported into the vehicle dynamics model through a rigid–flex coupling interface, establishing a medium–low-speed maglev vehicle suspension system–bridge coupling dynamics model. …”
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    Low fluctuation stiffness design method for vibration reduction of helical gears by YOU Zhiwei, GAO Jingtao, LI Haonan

    Published 2025-01-01
    “…Then it was compared with the finite element method to verify the correctness and effectiveness of the parameter design method and the analytical mesh stiffness model. …”
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    Rough Set Theory and Soft Computing Methods for Building Explainable and Interpretable AI/ML Models by Sami Naouali, Oussama El Othmani

    Published 2025-05-01
    “…Applied to a private cardiovascular dataset, our MLSpecialReduct algorithm achieves a peak Random Forest accuracy of 0.99 (versus 0.85 without feature selection), while MLFuzzyRoughSet improves accuracy to 0.83, surpassing our MLVarianceThreshold (0.72–0.77), an adaptation of the traditional VarianceThreshold method. …”
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  9. 49

    Balanced truncation model reduction for laser heating wafer model in frequency restricted domain by Md. Saiduzzaman, Md. Shafiqul Islam, Md. Sumon Hossain, M. Monir Uddin, Mohammad Osman Gani

    Published 2024-12-01
    “…In this paper, we develop a mathematical model for laser heating in silicon wafers. For model reduction, we use the balanced truncation method, considering both frequency-unrestricted and restricted cases. …”
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  10. 50

    ON SYMMETRY REDUCTIONS AND INVARIANT SOLUTIONS OF THE k-ε TURBULENCE MODEL by N. G. Khor'kova

    Published 2016-12-01
    “…Methods of theoretical group analysis of differential equations are applied to the k -ε turbulence model. …”
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  11. 51

    ScTCN-LightGBM: a hybrid learning method via transposed dimensionality-reduction convolution for loading measurement of industrial material by Zihua Chen, Runmei Zhang, Zhong Chen, Yu Zheng, Shunxiang Zhang

    Published 2023-12-01
    “…First, we provide an abnormal data processing method to guarantee raw data accuracy. Second, we design a sided-composited temporal convolutional network that combines a novel transposed dimensionality-reduction convolution residual block with the conventional residual block. …”
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  12. 52

    LOGISTIC REGRESSION MODELING OF REDUCTANT HERBICIDE IN PAGARALAM COFFEE FARMING by Irmeilyana Irmeilyana, Ngudiantoro Ngudiantoro, Sri Indra Maiyanti, Siddiq Makhalli

    Published 2023-12-01
    “…Overall prediction accuracy of the model results of the enter method and backward method are respectively 78.2% and 76.4%. …”
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    Article
  13. 53

    Numerical Modeling of PMSM Noise Reduction by Harmonic Current Injection by Federico Soresini, Dario Barri, Federico Ballo, Massimiliano Gobbi

    Published 2025-01-01
    “…The study proposes and validates a numerical method for modeling this phenomenon. The strategy was first applied experimentally. …”
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    Investigation on the AE characteristics and progressive failure behaviors of tunnels by strength reduction method by Xianhui Feng, Yadav Kedar Prasad, Bin Gong, Xiaofeng Cheng, Wenshuo Duan, Huilin Liu, Fenhua Ren

    Published 2025-05-01
    “…The strength reduction method is embedded in the rock failure process analysis method to achieve the gradual fracture process, macro failure mode and safety factor, and to reproduce the characteristic fracture phenomenon of surrounding rock masses. …”
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    Prediction of Shield Tunneling Attitude Based on WM-CTA Method by GAO Su, CHEN Cheng

    Published 2025-07-01
    “…Experiments were conducted on data for noise reduction and correlation analysis, followed by analysis of the model’s prediction performance and generalization ability. …”
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