Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Antonio Ruiz-Celma"'
Publikováno v:
Heliyon, Vol 9, Iss 6, Pp e16925- (2023)
The increasing requirements for data protection and privacy have attracted a huge research interest on distributed artificial intelligence and specifically on federated learning, an emerging machine learning approach that allows the construction of a
Externí odkaz:
https://doaj.org/article/c9101e5cd63f45bab101f8692dd3e32b
Autor:
Jose L. Salmeron, Antonio Ruiz-Celma
Publikováno v:
Mathematics, Vol 9, Iss 7, p 701 (2021)
Empathic buildings are intelligent ones that aim to measure and execute the best user experience. A smoother and intuitive environment leads to a better mood. The system gathers data from sensors that measure things like air quality, occupancy, noise
Externí odkaz:
https://doaj.org/article/0124b180376d4a36a91a6eb88680783f
Autor:
Jose L. Salmeron, Antonio Ruiz-Celma
Publikováno v:
Energies, Vol 12, Iss 1, p 90 (2018)
This research proposes an Elliot-based Extreme Learning Machine approach for industrial thermal processes regression. The main contribution of this paper is to propose an Extreme Learning Machine model with Elliot and Symmetric Elliot activation func
Externí odkaz:
https://doaj.org/article/197e7ff35ed94c3daf6096c800591390
Publikováno v:
DYNA. 97:131-134
The development of energy policies aimed at reducing energy consumption and the environmental impact together with the importance of the agricultural sector and its associated industries in certain regions, such as Extremadura, where most of the agri
Autor:
Elena Pulido Granado, Francisco Jesús Moral García, Antonio Ruiz Celma, Fernando López Rodríguez
Publikováno v:
DYNA INGENIERIA E INDUSTRIA. 92:171-177
Se presentan los resultados de la determinacion de la severidad climatica para los municipios de regiones de climas extremos, aplicado a Extremadura, necesarias tanto para las nuevas exigencias de calidad energetica establecidas por las Directivas Eu
Publikováno v:
Arias Montano. Repositorio Institucional de la Universidad de Huelva
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In this paper, we propose a Fuzzy Cognitive Map (FCM) learning approach with a multi-local search in balanced memetic algorithms for forecasting industrial drying processes. The first contribution of this paper is to propose a FCM model by an Evoluti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d40a19ce84c63234ee3755e21d0613f
http://hdl.handle.net/10272/19474
http://hdl.handle.net/10272/19474
Publikováno v:
Journal of Cleaner Production. 65:473-478
The results of two sets of experiments concerning the anaerobic digestion of Iberian pig slaughterhouse wastes are reported in the present work. In the first series experiments were carried out according to the actual proportions in which wastes were
Publikováno v:
Fuel. 113:415-419
In this work, the energetic feasibility of using tobacco (not tobacco waste materials) as a raw material in the process of anaerobic digestion has been studied in terms of methane production, in order to demonstrate the potentiality of tobacco plant
Publikováno v:
Journal of Cleaner Production. 42:52-57
The economic viability of a combined heat and power system in a typical olive processing industry is presented in this work. Special attention is paid to the analysis and discussion of energy savings and environmental benefits, with allocation based
Autor:
Fernando Rubiales, Almudena González-González, Fernando López-Rodríguez, Francisco Cuadros, Antonio Ruiz-Celma
Publikováno v:
Resources, Conservation and Recycling. 55:393-399
The environmental problem caused by the effluents from the four main agrifood industries in Extremadura (W Spain) is evaluated in the present work. In particular, attention is paid to the management of wastes from slaughterhouse operations. Pollution