Search Results - Segade Robleda, A.

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  1. 1
    A new predictive model based on the PSO-optimized support vector machine approach for predicting the milling tool wear from milling runs experimental data

    A new predictive model based on the PSO-optimized support vector machine approach for predicting the milling tool wear from milling runs experimental data by García-Nieto, P. J., García-Gonzalo, E., Vilán Vilán, J. A., Segade Robleda, A.

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  2. 2
    Approximation to the dynamics of transported parts in a vibratory bowl feeder

    Approximation to the dynamics of transported parts in a vibratory bowl feeder by Vilán Vilán, J.A., Segade Robleda, A., García Nieto, P.J., Casqueiro Placer, C.

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  3. 3
    Study of a Steel's Energy Absorption System for Heavy Quadricycles and Nonlinear Explicit Dynamic Analysis of its Behavior under Impact by FEM

    Study of a Steel's Energy Absorption System for Heavy Quadricycles and Nonlinear Explicit Dynamic Analysis of its Behavior under Impact by FEM by López Campos, José Ángel, Segade Robleda, Abraham, Vilán Vilán, José Antonio, García Nieto, Paulino José, Blanco Cordero, Javier

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  4. 4
    Modeling the milling tool wear by using an evolutionary SVM–based model from milling runs experimental data

    Modeling the milling tool wear by using an evolutionary SVM–based model from milling runs experimental data

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  5. 5
    Metodología para el estudio mediante simulación numérica de la adaptación del stent de una prótesis valvular aórtica al área de implantación

    Metodología para el estudio mediante simulación numérica de la adaptación del stent de una prótesis valvular aórtica al área de implantación by Suárez García, Sofia, López Campos, José Ángel, López García, Irea, Agudo del Rio, David, Segade Robleda, Abraham, González Baldonedo, Jacobo

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