Influence of the Surface Temperature Evolution over Organic and Inorganic Compounds on Iapetus

Autor: Katherine Villavicencio-Valero, Emilio Ramírez-Juidias, Antonio Madueño-Luna, José Miguel Madueño-Luna, Miguel Calixto López-Gordillo

Publikováno v: Universe, Vol 9, Iss 9, p 403 (2023)

In this manuscript, there were performed simulations of the evolution of the surface temperature for each of the two hemispheres of Iapetus. This icy moon of Saturn shows the most differentiated albedo dichotomy of the Solar System. The dark leading

Externí odkaz: https://doaj.org/article/925d3967b81d49058f46c1ac8ea6dc6c

Classification of Monofloral Honeys by Measuring Electrical Impedance Based on Neural Networks

Autor: Eduardo González María, Antonio Madueño-Luna, Antonio Ruiz-Canales, José Miguel Madueño Luna

Publikováno v: Agronomy, Vol 12, Iss 8, p 1929 (2022)

The study of electrical impedance applied to food has become a method with great potential for use in the food industry, which allows the monitoring and control of quality processes in a safe and non-invasive way. Recent research has shown that this

Externí odkaz: https://doaj.org/article/49a094d363e44154a7f8e2e944a42ddc

Characterization and Differentiation between Olive Varieties through Electrical Impedance Spectroscopy, Neural Networks and IoT

Autor: José Miguel Madueño Luna, Antonio Madueño Luna, Rafael E. Hidalgo Fernández

Publikováno v: Sensors, Vol 20, Iss 20, p 5932 (2020)

Electrical impedance has shown itself to be useful in measuring the properties and characteristics of agri-food products: fruit quality, moisture content, the germination capacity in seeds or the frost-resistance of fruit. In the case of olives, it h

Externí odkaz: https://doaj.org/article/aa2f23664880433ca5fbf39867bc3206

Assessing the Best Gap-Filling Technique for River Stage Data Suitable for Low Capacity Processors and Real-Time Application Using IoT

Autor: Miriam López Lineros, Antonio Madueño Luna, Javier Estévez Gualda, Juan Vicente Giráldez Cervera, José Miguel Madueño Luna

Publikováno v: Sensors, Vol 20, Iss 6354, p 6354 (2020)
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 21
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname

Hydrometeorological data sets are usually incomplete due to different reasons (malfunctioning sensors, collected data storage problems, etc.). Missing data do not only affect the resulting decision-making process, but also the choice of a particular

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33bcd44ecc167630075ef653f08d5993
https://www.mdpi.com/1424-8220/20/21/6354

Análisis en tiempo real del funcionamiento de la cadena de alimentación de las máquinas deshuesadoras de aceitunas mediante diagnosis por visión artificial y redes neuronales

Autor: José Miguel Molina Martínez, Meritxell Justicia Segovia, Antonio Ruiz Canales, Montserrat Baena Sánchez, Antonio Madueño Luna, Manuel de Jódar Lázaro, Alberto Lucas Pascual, José Miguel Madueño Luna

Publikováno v: Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname
Repositorio Digital de la Universidad Politécnica de Cartagena
Fundación Universitaria San Pablo CEU (FUSPCEU)

Las maquinas deshuesadoras de aceitunas se caracterizan porque su funcionamiento optimo esta vinculado a un buen ajuste: Seleccion de un plato de alimentacion adecuado a la variedad de aceituna y su calibre, de las caracteristicas geometricas de la c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a08d301f65426bdae15b7f24f23c1d7
https://doi.org/10.26754/c_agroing.2019.com.3423