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    Estimation of lower-limb joint torques from EEG signals of gait initiation movements using a machine learning scheme por Alvarado Ruiz, Lucero Esmeralda

    Publicado 2019
    “…This extracted data, referred as prototypes and obtained with a proposed algorithm, is used to train and test the regression model that estimates the desired joint torques. …”
    Enlace del recurso
    Tesis
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    Estimation of lower-limb joint torques from EEG signals of gait initiation movements using a machine learning scheme por Alvarado Ruiz, Lucero Esmeralda

    Publicado 2019
    “…This extracted data, referred as prototypes and obtained with a proposed algorithm, is used to train and test the regression model that estimates the desired joint torques. …”
    Enlace del recurso
    Tesis
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    A discussion about the rod position in the splitting tensile tests on hollow concrete blocks por Chávez Gómez, Jorge Humberto, Alvarez Pérez, José, Mesa Lavista, Milena, Fajardo San Miguel, Gerardo, Cavazos de Lira, Diego, González Alcorta, Ricardo

    Publicado 2023
    “…The main result was that the splitting test over the net area with the rod positioned in the longitudinal direction can overestimate the tensile strength by more than 21% of the one over the gross area.…”
    Enlace del recurso
    Artículo
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    Analysis of multiple change-points in normally distributed series por Garza Venegas, Jorge Arturo

    Publicado 2013
    “…It considers case when multiple step changes have occurred assuming that distribution’s parameters as well as change-point positions are unknown. Maximum Likelihood estimators for change-points as well as for parameters were developed considering three cases based on single step change problem: (1) multiple changes only in the mean, (2) multiple changes only in variance and (3) multiple changes in both parameters at the same time. …”
    Enlace del recurso
    Tesis
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    Analysis of multiple change-points in normally distributed series por Garza Venegas, Jorge Arturo

    Publicado 2013
    “…It considers case when multiple step changes have occurred assuming that distribution’s parameters as well as change-point positions are unknown. Maximum Likelihood estimators for change-points as well as for parameters were developed considering three cases based on single step change problem: (1) multiple changes only in the mean, (2) multiple changes only in variance and (3) multiple changes in both parameters at the same time. …”
    Enlace del recurso
    Tesis
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