Zobrazeno 1 - 10
of 25
pro vyhledávání: '"José A. Moscoso López"'
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:
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, 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
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
Autor:
Juan Jesús Ruiz-Aguilar, José Antonio Moscoso-López, Daniel Urda, Ignacio J. Turias, Javier González-Enrique
Publikováno v:
Neurocomputing. 391:282-291
Machine learning methods are a powerful tool to detect workload peaks and congestion in goods inspection facilities of seaports. In this paper, a time series data of freight inspection volume at the Border Inspections Posts in the Port of Algeciras B
Autor:
Juan Jesús Ruiz-Aguilar, Ignacio J. Turias, José Antonio Moscoso-López, Leonardo Franco, Javier González-Enrique
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 33:801-815
This study focuses on how to determine the most relevant variables in order to estimate the hourly NO2 concentrations in a monitoring network located in the Bay of Algeciras (Spain). For each station of the network, artificial neural networks and mul
Autor:
Javier González-Enrique, José Antonio Moscoso-López, Ignacio J. Turias, Daniel Urda, Juan Jesús Ruiz-Aguilar, Lipika Deka
Publikováno v:
Sensors, Vol 21, Iss 1770, p 1770 (2021)
Sensors 2021, 21(5), 1770
RODIN: Repositorio de Objetos de Docencia e Investigación de la Universidad de Cádiz
Universidad de Cádiz
Sensors (Basel, Switzerland)
RODIN. Repositorio de Objetos de Docencia e Investigación de la Universidad de Cádiz
instname
Sensors
Volume 21
Issue 5
Sensors 2021, 21(5), 1770
RODIN: Repositorio de Objetos de Docencia e Investigación de la Universidad de Cádiz
Universidad de Cádiz
Sensors (Basel, Switzerland)
RODIN. Repositorio de Objetos de Docencia e Investigación de la Universidad de Cádiz
instname
Sensors
Volume 21
Issue 5
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
Autor:
Javier González-Enrique, Daniel Urda, Ignacio J. Turias, José Antonio Moscoso-López, Juan Jesús Ruiz-Aguilar
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030578015
SOCO
SOCO
Air Quality Index (AQI) is an index to inform the daily air quality. AQI is a dimensionless quantity to show the state of air pollution simplifying the information of concentrations in \(\mu g/m^3\). Air quality indexes have been established for each
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::312530586be22a26a8dc423b8d468e81
https://doi.org/10.1007/978-3-030-57802-2_12
https://doi.org/10.1007/978-3-030-57802-2_12