Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Juan Jesús Ruiz Aguilar"'
Autor:
María Inmaculada Rodríguez García, Javier González-Enrique, Juan Jesús Ruiz Aguilar, Ignacio J. Turias
Publikováno v:
Modelling in Science Education and Learning, Vol 16, Iss 1, Pp 29-34 (2023)
Se muestran algunos de los resultados obtenidos en un proyecto de innovación docente desarrollado en la ETSI de Algeciras. El objetivo fue fundamentalmente intentar aumentar la motivación e interés de los estudiantes acerca del uso de la programac
Externí odkaz:
https://doaj.org/article/707881aba7624c569369098c4538837b
Autor:
Juan Jesús Ruiz Aguilar, Ignacio J. Turias, José A. Moscoso López, María J. Jiménez Come, María M. Cerbán
Publikováno v:
Dyna, Vol 83, Iss 195, Pp 163-172 (2016)
The prediction of freight congestion (cargo peaks) is an important tool for decision making and it is this paper’s main object of study. Forecasting freight flows can be a useful tool for the whole logistics chain. In this work, a complete methodol
Externí odkaz:
https://doaj.org/article/8933022bdfbc42db8bfd2aad3c3007ca
Autor:
María Inmaculada Rodríguez-García, María Gema Carrasco-García, Javier González-Enrique, Juan Jesús Ruiz-Aguilar, Ignacio J. Turias
Publikováno v:
Sustainability; Volume 15; Issue 6; Pages: 5089
Predicting air quality is a very important task, as it is known to have a significant impact on health. The Bay of Algeciras (Spain) is a highly industrialised area with one of the largest superports in Europe. During the period 2017–2019, differen
Autor:
Juan Jesús Ruiz-Aguilar, José Antonio Moscoso-López, Daniel Urda, Javier González-Enrique, Ignacio Turias
Publikováno v:
Applied Sciences, Vol 10, Iss 23, p 8326 (2020)
An accurate prediction of freight volume at the sanitary facilities of seaports is a key factor to improve planning operations and resource allocation. This study proposes a hybrid approach to forecast container volume at the sanitary facilities of a
Externí odkaz:
https://doaj.org/article/a4f695a4d6384360bc6ba2a5572ecacb
Autor:
Javier González-Enrique, Juan Jesús Ruiz-Aguilar, Eduardo Madrid Navarro, Rosa Martínez Álvarez-Castellanos, Ivan Felis Enguix, José M. Jerez, Ignacio J. Turias
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783031180491
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8b57f2f29e8e2950428ff2427a285b2
https://doi.org/10.1007/978-3-031-18050-7_8
https://doi.org/10.1007/978-3-031-18050-7_8
Autor:
Javier González-Enrique, Daniel Urda, Juan Jesús Ruiz-Aguilar, Ignacio J. Turias, José Antonio Moscoso-López
Publikováno v:
Neurocomputing. 452:487-497
The uncertainty cargo flow problem establishes a limitation in ports management where decision-making processes need accurate information of the future values. This work aims at predicting the future values of Ro-Ro perishable cargo flow at the Port
Autor:
Ignacio J. Turias, Daniel Urda, José Antonio Moscoso-López, Javier González-Enrique, Juan Jesús Ruiz-Aguilar
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 35:1999-2019
This study presents a comparison between sixteen filter ranking methods applied to a real air pollution problem. Adaptations of the Minimum-Redundancy-Maximum-Relevance (mRMR) algorithm to use the Spearman's rank correlation, the kernel canonical cor
Autor:
Ignacio J. Turias, Juan Jesús Ruiz-Aguilar, Daniel Urda, Francisco J. Veredas, Javier González-Enrique, José M. Jerez
Publikováno v:
Neural Computing and Applications. 33:9403-9423
Deep learning provides a variety of neural network-based models, known as deep neural networks (DNNs), which are being successfully used in several domains to build highly accurate predictors. A key factor which usually makes DNNs to outperform tradi
Publikováno v:
Transportation Research Procedia. 58:363-369
Autor:
José Antonio Moscoso-López, Javier González-Enrique, Daniel Urda, Juan Jesús Ruiz-Aguilar, Ignacio J Turias
Publikováno v:
Logic Journal of the IGPL.
The Air Quality Index (AQI) shows the state of air pollution in a unique and more understandable way. This work aims to forecast the AQI in Algeciras (Spain) 8 hours in advance. The AQI is calculated indirectly through the predicted concentrations of