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:
María Inmaculada Rodríguez-García, María Gema Carrasco-García, Maria da Conceição Rodrigues Ribeiro, Javier González-Enrique, Juan Jesús Ruiz-Aguilar, Ignacio J. Turias
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 3, p 397 (2024)
Predicting the levels of a pollutant in a given area is an open problem, mainly because historical data are typically available at certain locations, where monitoring stations are located, but not at all locations in the area. This work presents an a
Externí odkaz:
https://doaj.org/article/f31e2f426b2b4d36ac205ed41035dd9a
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:
Javier González-Enrique, Juan Jesús Ruiz-Aguilar, José Antonio Moscoso-López, Daniel Urda, Lipika Deka, Ignacio J. Turias
Publikováno v:
Sensors, Vol 21, Iss 5, p 1770 (2021)
This study aims to produce accurate predictions of the NO2 concentrations at a specific station of a monitoring network located in the Bay of Algeciras (Spain). Artificial neural networks (ANNs) and sequence-to-sequence long short-term memory network
Externí odkaz:
https://doaj.org/article/308bf6ac2d86432287ff9b542a328b19
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:
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:
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