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1
artículo
Publicado 2017
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This article presents the application of the non-parametric Random Forest method through supervised learning, as an extension of classification trees. The Random Forest algorithm arises as the grouping of several classification trees. Basically it randomly selects a number of variables with which each individual tree is constructed and predictions are made with these variables that will later be weighted through the calculation of the most voted class of these trees that were generated, to finally do the prediction by Random Forest. For the application, we worked with 3168 recorded voices, for which the results of an acoustic analysis are presented, registering variables such as frequency, spectrum, modulation, among others, seeking to obtain a pattern of identification and classification according to gender through a voice identifier. The data record used is in open access and can be do...
2
artículo
Publicado 2017
Enlace
Enlace
This article presents the application of the non-parametric Random Forest method through supervised learning, as an extension of classification trees. The Random Forest algorithm arises as the grouping of several classification trees. Basically it randomly selects a number of variables with which each individual tree is constructed and predictions are made with these variables that will later be weighted through the calculation of the most voted class of these trees that were generated, to finally do the prediction by Random Forest. For the application, we worked with 3168 recorded voices, for which the results of an acoustic analysis are presented, registering variables such as frequency, spectrum, modulation, among others, seeking to obtain a pattern of identification and classification according to gender through a voice identifier. The data record used is in open access and can be do...
3
artículo
Publicado 2017
Enlace
Enlace
This article presents the application of the non-parametric Random Forest method through supervised learning, as an extension of classification trees. The Random Forest algorithm arises as the grouping of several classification trees. Basically it randomly selects a number of variables with which each individual tree is constructed and predictions are made with these variables that will later be weighted through the calculation of the most voted class of these trees that were generated, to finally do the prediction by Random Forest. For the application, we worked with 3168 recorded voices, for which the results of an acoustic analysis are presented, registering variables such as frequency, spectrum, modulation, among others, seeking to obtain a pattern of identification and classification according to gender through a voice identifier. The data record used is in open access and can be do...
4
tesis doctoral
Publicado 2024
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El estudio y la conservación del patrimonio de estructuras de piedra es una preocupación mundial, sobre todo, si estas construcciones están ubicadas en zonas sísmicas. En el Perú -debido a su gran variedad cultural e histórica- existe un gran número de construcciones de piedra en diferentes sitios arqueológicos, abarcando varias tipologías constructivas. Lamentablemente, gran parte de estas construcciones aún no han sido evaluadas estructuralmente, por lo que se desconoce su comportamiento estructural. También, no se cuenta con una taxonomía de tipologías estructurales y, por ende, diversas características de las construcciones existentes son desconocidas. Una forma de evaluar el comportamiento dinámico no lineal de estas estructuras es usando una rigurosa -pero rápida- metodología numérica que reproduzca adecuadamente los diferentes mecanismos de fallo, basada en la di...
5
tesis doctoral
Publicado 2024
Enlace
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El estudio y la conservación del patrimonio de estructuras de piedra es una preocupación mundial, sobre todo, si estas construcciones están ubicadas en zonas sísmicas. En el Perú -debido a su gran variedad cultural e histórica- existe un gran número de construcciones de piedra en diferentes sitios arqueológicos, abarcando varias tipologías constructivas. Lamentablemente, gran parte de estas construcciones aún no han sido evaluadas estructuralmente, por lo que se desconoce su comportamiento estructural. También, no se cuenta con una taxonomía de tipologías estructurales y, por ende, diversas características de las construcciones existentes son desconocidas. Una forma de evaluar el comportamiento dinámico no lineal de estas estructuras es usando una rigurosa -pero rápida- metodología numérica que reproduzca adecuadamente los diferentes mecanismos de fallo, basada en la di...
6
tesis de maestría
Publicado 2019
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Semiconductor-insulator interfaces play an important role in the performance of many different electronic and optoelectronic devices such as transistors, LEDs, lasers and solar cells. Particularly, the recombination of photo-generated charge carriers at interfaces in crystalline silicon solar cells causes a dramatic efficiency reduction. Therefore, during the fabrication process, the crystalline silicon must be subjected to prior superficial passivation; typically through an insulating layer such as SiO2, SiNx or AlOx. The function of this passivating layer is to reduce electrical recombination losses in interfacial defect states originating from dangling bonds. The associated passivation parameters are, on the one hand, stable charges within the insulating layer (Qox) that by repelling a certain type of charge carrier from the crystalline silicon surface, reduces its recombination effec...
7
tesis de maestría
Publicado 2019
Enlace
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Semiconductor-insulator interfaces play an important role in the performance of many different electronic and optoelectronic devices such as transistors, LEDs, lasers and solar cells. Particularly, the recombination of photo-generated charge carriers at interfaces in crystalline silicon solar cells causes a dramatic efficiency reduction. Therefore, during the fabrication process, the crystalline silicon must be subjected to prior superficial passivation; typically through an insulating layer such as SiO2, SiNx or AlOx. The function of this passivating layer is to reduce electrical recombination losses in interfacial defect states originating from dangling bonds. The associated passivation parameters are, on the one hand, stable charges within the insulating layer (Qox) that by repelling a certain type of charge carrier from the crystalline silicon surface, reduces its recombination effec...
