ºÝºÝߣshows by User: jdov92 / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: jdov92 / Wed, 09 Sep 2015 22:10:38 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: jdov92 Tarea 1 https://es.slideshare.net/slideshow/tarea-1-52605208/52605208 tarea1-150909221038-lva1-app6892
tarea para grado sexto ejercisios de multiplicacion practicos ]]>

tarea para grado sexto ejercisios de multiplicacion practicos ]]>
Wed, 09 Sep 2015 22:10:38 GMT https://es.slideshare.net/slideshow/tarea-1-52605208/52605208 jdov92@slideshare.net(jdov92) Tarea 1 jdov92 tarea para grado sexto ejercisios de multiplicacion practicos <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tarea1-150909221038-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> tarea para grado sexto ejercisios de multiplicacion practicos
from Juan David Ortiz V
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Poster weandb SIB 2014 /jdov92/poster-weandb-sib-2014 posterweandb-140827103719-phpapp01
Poster weandb SIB 2014]]>

Poster weandb SIB 2014]]>
Wed, 27 Aug 2014 10:37:19 GMT /jdov92/poster-weandb-sib-2014 jdov92@slideshare.net(jdov92) Poster weandb SIB 2014 jdov92 Poster weandb SIB 2014 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/posterweandb-140827103719-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Poster weandb SIB 2014
Poster weandb SIB 2014 from Juan David Ortiz V
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Patients Classification on Weaning Trials Using Neural Networks and Wavelet Transform /slideshow/paper-icimth-2014-greciabg/38415700 papericimth2014greciabg-140827102504-phpapp01
The determination of the optimal time of the patients in weaning trial process from mechanical ventilation, between patients capable of maintaining spontaneous breathing and patients that fail to maintain spontaneous breathing, is a very important task in intensive care unit. Wavelet Transform (WT) and Neural Networks (NN) techniques were applied in order to develop a classifier for the study of patients on weaning trial process. The respiratory pattern of each patient was characterized through different time series. Genetic Algorithms (GA) and Forward Selection were used as feature selection techniques. A classification performance of 77.00± 0.06% of well classified patients, was obtained using a NN and GA combination, with only 6 variables of the 14 initials. PAPER ICIMTH 2014 (GRECIA)]]>

The determination of the optimal time of the patients in weaning trial process from mechanical ventilation, between patients capable of maintaining spontaneous breathing and patients that fail to maintain spontaneous breathing, is a very important task in intensive care unit. Wavelet Transform (WT) and Neural Networks (NN) techniques were applied in order to develop a classifier for the study of patients on weaning trial process. The respiratory pattern of each patient was characterized through different time series. Genetic Algorithms (GA) and Forward Selection were used as feature selection techniques. A classification performance of 77.00± 0.06% of well classified patients, was obtained using a NN and GA combination, with only 6 variables of the 14 initials. PAPER ICIMTH 2014 (GRECIA)]]>
Wed, 27 Aug 2014 10:25:04 GMT /slideshow/paper-icimth-2014-greciabg/38415700 jdov92@slideshare.net(jdov92) Patients Classification on Weaning Trials Using Neural Networks and Wavelet Transform jdov92 The determination of the optimal time of the patients in weaning trial process from mechanical ventilation, between patients capable of maintaining spontaneous breathing and patients that fail to maintain spontaneous breathing, is a very important task in intensive care unit. Wavelet Transform (WT) and Neural Networks (NN) techniques were applied in order to develop a classifier for the study of patients on weaning trial process. The respiratory pattern of each patient was characterized through different time series. Genetic Algorithms (GA) and Forward Selection were used as feature selection techniques. A classification performance of 77.00± 0.06% of well classified patients, was obtained using a NN and GA combination, with only 6 variables of the 14 initials. PAPER ICIMTH 2014 (GRECIA) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/papericimth2014greciabg-140827102504-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The determination of the optimal time of the patients in weaning trial process from mechanical ventilation, between patients capable of maintaining spontaneous breathing and patients that fail to maintain spontaneous breathing, is a very important task in intensive care unit. Wavelet Transform (WT) and Neural Networks (NN) techniques were applied in order to develop a classifier for the study of patients on weaning trial process. The respiratory pattern of each patient was characterized through different time series. Genetic Algorithms (GA) and Forward Selection were used as feature selection techniques. A classification performance of 77.00± 0.06% of well classified patients, was obtained using a NN and GA combination, with only 6 variables of the 14 initials. PAPER ICIMTH 2014 (GRECIA)
Patients Classification on Weaning Trials Using Neural Networks and Wavelet Transform from Juan David Ortiz V
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Presentacion proyecto https://es.slideshare.net/slideshow/presentacion-proyecto-38415071/38415071 presentacionproyecto-140827100850-phpapp02
Diapositivas Proyecto de grado ]]>

Diapositivas Proyecto de grado ]]>
Wed, 27 Aug 2014 10:08:50 GMT https://es.slideshare.net/slideshow/presentacion-proyecto-38415071/38415071 jdov92@slideshare.net(jdov92) Presentacion proyecto jdov92 Diapositivas Proyecto de grado <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentacionproyecto-140827100850-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Diapositivas Proyecto de grado
from Juan David Ortiz V
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Proyecto de grado https://es.slideshare.net/slideshow/proyecto-de-grado-38414751/38414751 proyectodegrado-140827100108-phpapp02
Tesis de grado Ing. Mecatrónica. investigación ]]>

Tesis de grado Ing. Mecatrónica. investigación ]]>
Wed, 27 Aug 2014 10:01:08 GMT https://es.slideshare.net/slideshow/proyecto-de-grado-38414751/38414751 jdov92@slideshare.net(jdov92) Proyecto de grado jdov92 Tesis de grado Ing. Mecatrónica. investigación <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/proyectodegrado-140827100108-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Tesis de grado Ing. Mecatrónica. investigación
from Juan David Ortiz V
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Actividad unidad 4 tic https://es.slideshare.net/slideshow/actividad-unidad-4-tic-38333237/38333237 actividadunidad4tic-140825110330-phpapp02
TRABAJO FINAL ACTIVIDAD 4]]>

TRABAJO FINAL ACTIVIDAD 4]]>
Mon, 25 Aug 2014 11:03:30 GMT https://es.slideshare.net/slideshow/actividad-unidad-4-tic-38333237/38333237 jdov92@slideshare.net(jdov92) Actividad unidad 4 tic jdov92 TRABAJO FINAL ACTIVIDAD 4 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/actividadunidad4tic-140825110330-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> TRABAJO FINAL ACTIVIDAD 4
from Juan David Ortiz V
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https://cdn.slidesharecdn.com/profile-photo-jdov92-48x48.jpg?cb=1624661462 Ingeniero Mecatrónico, con experiencia en gestión de proyectos (PMI) y coordinación de mantenimiento. Con conocimientos en sistemas de gestión de seguridad y salud en trabajo bajo normas ISO14001 además de sistemas de gestión de la calidad ISO 9001:2008. Con la capacidad de diseñar, proyectar, montar, mantener, controlar, administrar y evaluar equipos e instalaciones de funcionamiento mecatronico. Me desenvuelvo con facilidad para desarrollar y ejecutar proyecto de alto impacto que involucren manejo de personal y optimización de procesos, los cuales me ha sido asignado durante el tiempo obteniendo excelentes resultados. Soy una persona responsable, creativa, con iniciativa, facilidad de ... https://cdn.slidesharecdn.com/ss_thumbnails/tarea1-150909221038-lva1-app6892-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/tarea-1-52605208/52605208 Tarea 1 https://cdn.slidesharecdn.com/ss_thumbnails/posterweandb-140827103719-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds jdov92/poster-weandb-sib-2014 Poster weandb SIB 2014 https://cdn.slidesharecdn.com/ss_thumbnails/papericimth2014greciabg-140827102504-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/paper-icimth-2014-greciabg/38415700 Patients Classificatio...