Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Luis M. Navas-Gracia"'
Autor:
Francisco J. Diez, Ouiam F. Boukharta, Luis M. Navas-Gracia, Leticia Chico-Santamarta, Andrés Martínez-Rodríguez, Adriana Correa-Guimaraes
Publikováno v:
Sensors, Vol 22, Iss 20, p 7772 (2022)
In this article, the interpolation of daily data of global solar irradiation, and the maximum, average, and minimum temperatures were measured. These measurements were carried out in the agrometeorological stations belonging to the Agro-climatic Info
Externí odkaz:
https://doaj.org/article/c87e103194f64dfb9dcaeb396669958f
Autor:
Francisco J. Diez, Adriana Correa-Guimaraes, Leticia Chico-Santamarta, Andrés Martínez-Rodríguez, Diana A. Murcia-Velasco, Renato Andara, Luis M. Navas-Gracia
Publikováno v:
Sensors, Vol 22, Iss 13, p 4850 (2022)
This study evaluates the predictive modeling of the daily ambient temperature (maximum, Tmax; average, Tave; and minimum, Tmin) and its hourly estimation (T0h, …, T23h) using artificial neural networks (ANNs) for agricultural applications. The data
Externí odkaz:
https://doaj.org/article/c47560312bd04851bf0d2c361bc2dd86
Autor:
Ana Tejero-González, Héctor López-Pérez, Fernando Espí-García, Luis M. Navas-Gracia, Julio F. SanJosé-Alonso
Publikováno v:
Applied Sciences, Vol 12, Iss 9, p 4098 (2022)
Health care facilities are high energy-demanding buildings. The energy-saving potential is limited due to safety regulations, especially in critical care areas like operating rooms (ORs). Reducing the supply airflows during unoccupied periods, also c
Externí odkaz:
https://doaj.org/article/9b1bf03a68e3459ea520ef269dbaaf5e
Autor:
Anderson G. Costa, Francisco de A. de C. Pinto, Sérgio Y. Motoike, Roberto A. Braga Júnior, Luis M. Navas Gracia
Publikováno v:
Engenharia Agrícola, Vol 38, Iss 4, Pp 634-641 (2018)
ABSTRACT Macaw palm (Acrocomia aculeata) is a promising crop for biofuel production due to the high concentration of its fruit oil, but the harvest date is an issue to be better understood so it could be cultivated on an industrial scale. The aim of
Externí odkaz:
https://doaj.org/article/c947f55e4bfd4685ba4ddbc9be150337
Autor:
Anderson Barbosa-Evaristo, Ignacio A. Fernández-Coppel, Adriana Corrêa-Guimarães, Jesús Martín-Gil, Leonardo Duarte-Pimentel, José A. Saraiva-Grossi, Luis M. Navas-Gracia, Pablo Martín-Ramos
Publikováno v:
Carbon Management, Vol 9, Iss 3, Pp 243-254 (2018)
The expansion of the production and use of bioenergy is one of the most efficient mechanisms to reduce greenhouse gas (GHG) emissions. Nevertheless, the environmental impact of the production processes for many raw materials remains unexplored. Sever
Externí odkaz:
https://doaj.org/article/2bc03e0d7d9b4a76a2dba130e5c8803d
Autor:
Francisco J. Diez, Andrés Martínez-Rodríguez, Luis M. Navas-Gracia, Leticia Chico-Santamarta, Adriana Correa-Guimaraes, Renato Andara
Publikováno v:
Agronomy, Vol 11, Iss 3, p 495 (2021)
Agrometeorological stations have horizontal solar irradiation data available, but the design and simulation of photovoltaic (PV) systems require data about the solar panel (inclined and/or oriented). Greenhouses for agricultural production, outside t
Externí odkaz:
https://doaj.org/article/ba3568a82d85428fb8dcbce2cfaa9267
Autor:
Francisco J. Diez, Luis M. Navas-Gracia, Leticia Chico-Santamarta, Adriana Correa-Guimaraes, Andrés Martínez-Rodríguez
Publikováno v:
Agronomy, Vol 10, Iss 1, p 96 (2020)
This article evaluates horizontal daily global solar irradiation predictive modelling using artificial neural networks (ANNs) for its application in agricultural sciences and technologies. An eight year data series (i.e., training networks period bet
Externí odkaz:
https://doaj.org/article/5ba0a94ada684ce087edfb24dad6ebd5
Autor:
Víctor Martínez-Martínez, Carlos Baladron, Jaime Gomez-Gil, Gonzalo Ruiz-Ruiz, Luis M Navas-Gracia, Javier M Aguiar, Belen Carro
Publikováno v:
Informador Técnico, Vol 77, Iss 1, Pp 35-46 (2013)
This paper presents an Artificial Neural Network (ANN) based model for environmental variables related to the tobacco drying process. A fitting ANN was used to estimate and predict temperature and relative humidity inside the tobacco dryer: the estim
Externí odkaz:
https://doaj.org/article/2726ef146ca44791844067624d019ee5
Publikováno v:
Neural Computing and Applications. 32:12801-12812
In this paper, the concept of Virtual Weather Stations (VWS) is introduced. A VWS is an integration of algorithms to download meteorological data, process and use them with the main objective of estimate data in nearby locations with no meteorologica
Autor:
Hayfa Y. Abuaddous, Laith Abualigah, S. Agostinelli, W. Ajbar, Mohammed A.A. Al-qaness, Mohammad Alshinwan, Leticia Chico-Santamarta, Adriana Correa-Guimaraes, Francisco J. Diez, Youness El Mghouchi, Mohamed Elasyed Abd Elaziz, Ammar H. Elsheikh, Fadl A. Essa, Ismail Ghoul, J.A. Hernández, A. Heydari, Rehab Ali Ibrahim, Ahmad M. Khasawneh, Wenjia Li, Andrés Martínez-Rodríguez, Wafa Mousser, Luis M. Navas-Gracia, Mahmoud Omari, Mohammed Otair, Salima Ouadfel, A. Parrales, E.D. Reyes-Téllez, S. Sadek, Mohd Khaled Yousef Shambour, S. Shanmugan, Mohammad Shehab, Abdelmalik Taleb-Ahmed, Somaya Zacout, Mohamed E. Zayed, Jun Zhao
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8e2bd18e01889406c5014e5466fe8b9
https://doi.org/10.1016/b978-0-12-820793-2.00016-1
https://doi.org/10.1016/b978-0-12-820793-2.00016-1