Výsledky vyhledávání - "Juan Gómez Sanchis"

Akademický článek

Unificació dels ensenyaments relacionats amb Tractament Digital de Senyals

Autor: Juan Francisco Guerrero Martínez, Juan Caravaca Moreno, Marcelino Martínez Sober, Emilio Soria Olivas, José David Martín Guerrero, Javier Calpe Maravilla, Luis Gómez Chova, José Rafael Magdalena Benito, Antonio José Serrano López, Juan Gómez Sanchis

Publikováno v: @tic: Revista d'Innovació Educativa, Vol 0, Iss 6, Pp 71-76 (2011)

La docència del Tractament Digital de Senyals (TDS) es realitza en diversos mòduls, amb una gran intersecció de continguts. Este treball planteja el desvolupament d’una estratègia que permeta la unificació de continguts de TDS, de manera que e

Externí odkaz: https://doaj.org/article/c9be249060d449de865f10f47d93dcc4

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Akademický článek

Detection of Invisible Damages in ‘Rojo Brillante’ Persimmon Fruit at Different Stages Using Hyperspectral Imaging and Chemometrics

Autor: Sandra Munera, Alejandro Rodríguez-Ortega, Nuria Aleixos, Sergio Cubero, Juan Gómez-Sanchis, José Blasco

Publikováno v: Foods, Vol 10, Iss 9, p 2170 (2021)

The main cause of flesh browning in ‘Rojo Brillante’ persimmon fruit is mechanical damage caused during harvesting and packing. Innovation and research on nondestructive techniques to detect this phenomenon in the packing lines are necessary beca

Externí odkaz: https://doaj.org/article/55d5d19f7874467fabd5d87c721d2cef

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Akademický článek

CitrusYield: A Dashboard for Mapping Yield and Fruit Quality of Citrus in Precision Agriculture

Autor: María Gyomar González-González, Juan Gómez-Sanchis, Jose Blasco, Emilio Soria-Olivas, Patricia Chueca

Publikováno v: Agronomy, Vol 10, Iss 1, p 128 (2020)

The application of new technologies in precision agriculture offers the possibility to link information to very specific crop locations. The spatial representation of these agricultural data through yield and fruit quality maps allows for crop manage

Externí odkaz: https://doaj.org/article/ee295c40df5b4e4d8dc1e065702cb2b1

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Discrimination of astringent and deastringed hard ‘Rojo Brillante’ persimmon fruit using a sensory threshold by means of hyperspectral imaging

Autor: Alejandra Salvador, Cristina Besada, Sandra Munera, Juan Gómez-Sanchis, Nuria Aleixos, José Blasco, Sergio Cubero, Pau Talens

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname

[EN] Persimmon fruit cv. 'Rojo Brillante' is an astringent cultivar due to its content of soluble tannins, which are insolubilised during the ripening of the fruit. Traditionally, the consumption of this cultivar has only been possible when the fruit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a5134f9ba1433cb3ff05fc986e44a44
https://doi.org/10.1016/j.jfoodeng.2019.06.008

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Analysis of computer user behavior, security incidents and fraud using Self-Organizing Maps

Autor: Joan Vila-Francés, Antonio J. Serrano-López, Alberto Urueña López, José M. Martínez-Martínez, Fernando Mateo, Julio Navío-Marco, Juan Gómez-Sanchis

Publikováno v: Computers & Security. 83:38-51

This paper addresses several topics of great interest in computer security in recent years: computer users’ behavior, security incidents and fraud exposure on the Internet, due to their high economic and social cost. Traditional research has been b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bde9866cde25ade7218b8ea05ce46c4f
https://doi.org/10.1016/j.cose.2019.01.009

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Detection of Invisible Damages in ‘Rojo Brillante’ Persimmon Fruit at Different Stages Using Hyperspectral Imaging and Chemometrics

Autor: José Blasco, Alejandro Rodríguez-Ortega, Sergio Cubero, Nuria Aleixos, Juan Gómez-Sanchis, Sandra Munera

Publikováno v: electronico
Foods, Vol 10, Iss 2170, p 2170 (2021)
Foods
Volume 10
Issue 9
ReDivia. Repositorio Digital del Instituto Valenciano de Investigaciones Agrarias
Ministerio de Educación, Cultura y Deporte (MECD)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname

[EN] The main cause of flesh browning in 'Rojo Brillante' persimmon fruit is mechanical damage caused during harvesting and packing. Innovation and research on nondestructive techniques to detect this phenomenon in the packing lines are necessary bec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e320eba8858f886c23bda83f3921544
https://www.mdpi.com/2304-8158/10/9/2170

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End-to-end Keyword Spotting using Xception-1d

Autor: Iván Vallés-Pérez, Juan Gómez-Sanchis, Antonio J. Serrano-López, Joan Vila-Francés, Marcelino Martínez-Sober, Emilio Soria-Olivas

Publikováno v: ESANN 2021 proceedings.

The field of conversational agents is growing fast and there is an increasing need for algorithms that enhance natural interaction. In this work we show how we achieved state of the art results in the Keyword Spotting field by adapting and tweaking t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f11be61eae19db6f7289a378e8d6cb0c
https://doi.org/10.14428/esann/2021.es2021-21

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Automatic mass spectra recognition for Ultra High Vacuum systems using multilabel classification

Autor: Paolo Chiggiato, Berthold Jenninger, Juan José Garcés-Iniesta, Emilio Soria-Olivas, Juan Gómez-Sanchis, Fernando Mateo

Publikováno v: Expert Systems with Applications. 178:114959

In Ultra High-Vacuum (UHV) systems it is common to find a mixture of many gases originating from surface outgassing, leaks and permeation that contaminate vacuum chambers and cause issues to reach ultimate pressures. The identification of these conta

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2734d74313bece5887af9305a2bf61f8
https://doi.org/10.1016/j.eswa.2021.114959

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Application of deep convolutional neural networks for the detection of anthracnose in olives using VIS/NIR hyperspectral images

Autor: Souraya Benalia, José Blasco, Giuseppe Zimbalatti, Antonio Fazari, Sergio Cubero, Oscar J. Pellicer-Valero, Juan Gómez-Sanchis, Bruno Bernardi

Publikováno v: electronico
ReDivia. Repositorio Digital del Instituto Valenciano de Investigaciones Agrarias
Universidad de Cantabria (UC)
ReDivia: Repositorio Digital del Instituto Valenciano de Investigaciones Agrarias
Instituto Valenciano de Investigaciones Agrarias (IVIA)

Anthracnose is one of the primary diseases that affect olive production before and after harvest, causing severe damage and economic losses. The objective of this work is to detect this disease in the early stages, using hyperspectral images and adva

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2a07a7792dad8f992850e388bb4a111
https://doi.org/10.1016/j.compag.2021.106252

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Discrimination of common defects in loquat fruit cv. ‘Algerie’ using hyperspectral imaging and machine learning techniques

Autor: Sergio Cubero, Joan Vila-Francés, Sandra Munera, Nuria Aleixos, José Blasco, Juan Gómez-Sanchis, Giancarlo Colelli, Esteban Soler

Publikováno v: electronico
ReDivia: Repositorio Digital del Instituto Valenciano de Investigaciones Agrarias
Instituto Valenciano de Investigaciones Agrarias (IVIA)
ReDivia. Repositorio Digital del Instituto Valenciano de Investigaciones Agrarias
instname

Loquat (Eriobotrya japonica L.) is an important fruit for the economy of some regions of Spain that is very susceptible to mechanical damage and physiological disorders. These problems depreciate its value and prevent it from being exported. Visible

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88d296f6df79e6f1f7124055ea5eaea7
https://doi.org/10.1016/j.postharvbio.2020.111356

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