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24 results on '"García-Manso, Antonio"'

5. Robustness of a CAD System on Digitized Mammograms

Author

García-Manso, Antonio, García-Orellana, Carlos J., Gallardo-Caballero, Ramón, Lanconelli, Nico, González-Velasco, Horacio, Macías-Macías, Miguel, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Mana, Nadia, editor, Schwenker, Friedhelm, editor, and Trentin, Edmondo, editor

Published
2012
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7. Image Analysis Applied to Morphological Assessment in Bovine Livestock

Author

González–Velasco, Horacio M., García–Orellana, Carlos J., Macías–Macías, Miguel, Gallardo–Caballero, Ramón, García–Manso, Antonio, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Blanc-Talon, Jacques, editor, Kleihorst, Richard, editor, Philips, Wilfried, editor, Popescu, Dan, editor, and Scheunders, Paul, editor

Published
2011
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8. Comparing Feature Extraction Techniques and Classifiers in the Handwritten Letters Classification Problem

Author

García-Manso, Antonio, García-Orellana, Carlos J., González-Velasco, Horacio M., Macías-Macías, Miguel, Gallardo-Caballero, Ramón, Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Diamantaras, Konstantinos, editor, Duch, Wlodek, editor, and Iliadis, Lazaros S., editor

Published
2010
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9. Effect of BI-RADS Assessment in Improving CAD of Masses

Author

García-Manso, Antonio, García-Orellana, Carlos J., Gallardo-Caballero, Ramón, González-Velasco, Horacio, Macías-Macías, Miguel, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Martí, Joan, editor, Oliver, Arnau, editor, Freixenet, Jordi, editor, and Martí, Robert, editor

Published
2010
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19. Motorización de un sistema de bombeo solar aislado a través de IoT

Author

González Velasco, Horacio Manuel, García Manso, Antonio, García Orellana, Carlos Javier, Asensio Nieto, Alejandro, Macías Macías, Miguel, Gallardo Caballero, Ramón, González Velasco, Horacio Manuel, García Manso, Antonio, García Orellana, Carlos Javier, Asensio Nieto, Alejandro, Macías Macías, Miguel, and Gallardo Caballero, Ramón

Published
2018

20. Desarrollo de un electrocardiógrafo portátil

Author

García Orellana, Carlos Javier, García Manso, Antonio, M. González Velasco, Horacio, Macías Macías, Miguel, Gallardo Caballero, Ramón, Flores Román, Jorge A., García Orellana, Carlos Javier, García Manso, Antonio, M. González Velasco, Horacio, Macías Macías, Miguel, Gallardo Caballero, Ramón, and Flores Román, Jorge A.

Published
2018

23. Improving Short Term Instability for Quantitative Analyses with Portable Electronic Noses.

Author

Macías Macías, Miguel, Agudo, J. Enrique, García Manso, Antonio, García Orellana, Carlos Javier, García Velasco, Horacio Manuel, and García Caballero, Ramón

Subjects
ELECTRONIC noses, DETECTORS, QUANTITATIVE chemical analysis, QUANTITATIVE research, ELECTRONIC equipment
Abstract

One of the main problems when working with electronic noses is the lack of reproducibility or repeatability of the sensor response, so that, if this problem is not properly considered, electronic noses can be useless, especially for quantitative analyses. On the other hand, irreproducibility is increased with portable and low cost electronic noses where laboratory equipment like gas zero generators cannot be used. In this work, we study the reproducibility of two portable electronic noses, the PEN3 (commercial) and CAPINose (a proprietary design) by using synthetic wine samples. We show that in both cases short term instability associated to the sensors' response to the same sample and under the same conditions represents a major problem and we propose an internal normalization technique that, in both cases, reduces the variability of the sensors' response. Finally, we show that the normalization proposed seems to be more effective in the CAPINose case, reducing, for example, the variability associated to the TGS2602 sensor from 12.19% to 2.2%. [ABSTRACT FROM AUTHOR]

Published
2014
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24. A compact and low cost electronic nose for aroma detection.

Author

Macías Macías M, Agudo JE, García Manso A, García Orellana CJ, González Velasco HM, and Gallardo Caballero R

Subjects
Algorithms, Costs and Cost Analysis, Gases analysis, Humidity, Neural Networks, Computer, Principal Component Analysis, Temperature, Wine analysis, Electronic Nose economics, Odorants analysis
Abstract

This article explains the development of a prototype of a portable and a very low-cost electronic nose based on an mbed microcontroller. Mbeds are a series of ARM microcontroller development boards designed for fast, flexible and rapid prototyping. The electronic nose is comprised of an mbed, an LCD display, two small pumps, two electro-valves and a sensor chamber with four TGS Figaro gas sensors. The performance of the electronic nose has been tested by measuring the ethanol content of wine synthetic matrices and special attention has been paid to the reproducibility and repeatability of the measurements taken on different days. Results show that the electronic nose with a neural network classifier is able to discriminate wine samples with 10, 12 and 14% V/V alcohol content with a classification error of less than 1%.

Published
2013
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