Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Julio Alberto López-Gómez"'
Publikováno v:
Sensors, Vol 23, Iss 5, p 2649 (2023)
The advent of digitization has brought about new technologies that enable advanced condition monitoring and fault diagnosis under the Industry 4.0 paradigm. While vibration signal analysis is a commonly used method for fault detection in literature,
Externí odkaz:
https://doaj.org/article/862a8e6b662c4405ab848453fd9f4db1
Autor:
José Carlos García-García, Ricardo García-Ródenas, Julio Alberto López-Gómez, José Ángel Martín-Baos
Publikováno v:
Transportation Research Procedia. 62:374-382
Publikováno v:
Soft Computing. 26:3045-3058
The efficiency of handball goalkeepers is a good predictor of team ranking in tournaments, but despite this, very few studies have been carried out into the performance characteristics of elite goalkeepers. This paper provides the criteria for evalua
Publikováno v:
RUIdeRA. Repositorio Institucional de la UCLM
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Metaheuristic optimization algorithms address two main tasks in the process of problem solving: i) exploration (also called diversification) and ii) exploitation (also called intensification). Guaranteeing a trade-off between these operations is crit
Autor:
Julio Alberto López-Gómez, Catalina Lozano-Murcia, Eduardo Sanchez-Lopez, Francisco P. Romero, Eusebio Angulo Sanchez-Herrera
Publikováno v:
Computational and Mathematical Methods. 3
Autor:
Daniel Carrasco Pardo, José María Esbrí, Pablo Higueras, Julio Alberto López-Gómez, Saturnino Lorenzo
Traditionally, prospectivity models were designed using approaches mainly based on expert judgement. These models have been widely applied and they are also known as knowledge-driven prospectivity models (see Harris et al. (2015)). Currently, artific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ba3fc2aeaac4e82fef9395847f64d8d
https://doi.org/10.5194/egusphere-egu21-7339
https://doi.org/10.5194/egusphere-egu21-7339
Publikováno v:
RUIdeRA. Repositorio Institucional de la UCLM
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The backpropagation (BP) algorithm is a gradient-based algorithm used for training a feedforward neural network (FNN). Despite the fact that BP is still used today when FNNs are trained, it has some disadvantages, including the following: (i) it fail
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b00b7c60d0be8edc52e06f470ea9b4db
http://hdl.handle.net/10578/30105
http://hdl.handle.net/10578/30105
Autor:
Maria Teresa Sanchez-Rico, Julio Alberto López-Gómez, Ricardo García-Ródenas, María Luz López-García
Publikováno v:
RUIdeRA. Repositorio Institucional de la UCLM
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The segmentation of multivariate temporal series has been studied in a wide range of applications. This study investigates a challenging segmentation problem on traffic engineering, namely, identification of time-of-day breakpoints for pre-fixed traf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d5fe705899a94f2edd547df40d0e1ba
http://hdl.handle.net/10578/30098
http://hdl.handle.net/10578/30098
Autor:
Julio Alberto López-Gómez, María Luz López-García, Luis Jiménez Linares, Ricardo García-Ródenas
Publikováno v:
RUIdeRA. Repositorio Institucional de la UCLM
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A wide taxonomy of the adopted design criterion in models for Train Timetabling Problem (TTP), considers two kinds of models: operations-centric models, which are focused on railway operations and assume the demand has been considered and modeled in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2e0e305f1b1cb4c2fe257ee6c493ac1
http://hdl.handle.net/10578/23838
http://hdl.handle.net/10578/23838
Publikováno v:
CEC
In the last few years, hybridization has spread as an effective technique to solve hard optimization problems where metaheuristics algorithms have been unable to find global optima in a computational cost given. In this article, we propose the so-cal