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Listar por palabra clave "Bayesian Networks"

Mostrando ítems 1-5 de 5

A Bayesian Networks approach for the assessment of climate change impacts on nutrients loading

Sperotto, A.; Molina, J.L.; Torresan, S.; Critto, A.; Pulido-Velazquez, M.; Marcomini, A. (Elsevier, 2019-11)

[EN] Climate change is likely to strongly affect both the qualitative and quantitative characteristics of water resources. However, while potential impacts of climate change on water availability have been widely studied ...
Analysis of traffic accidents on rural highways using Latent Class Clustering

De Oña, Juan; López-Maldonado, Griselda; Mujalli, Randa; Calvo, Francisco J. (Elsevier, 2013)

[EN] One of the principal objectives of traffic accident analyses is to identify key factors that affect the severity of an accident. However, with the presence of heterogeneity in the raw data used, the analysis of traffic ...
CLASSIFICATION AND PREDICTION OF PORT VARIABLES

Molina Serrano, Beatriz; González Cancelas, María Nicoletta; Soler Flores, Francisco; Camarero Orive, Alberto (Editorial Universitat Politècnica de València, 2016-06-01)

[EN] Many variables are included in planning and management of port terminals. They can be economic, social, environmental and institutional. Agent needs to know relationship between these variables to modify planning ...
Redes bayesianas para el análisis integrado de la gestión de sistemas de recursos hídricos. Aplicación a la cuenca del río Júcar

Barbero García, Ana María (Universitat Politècnica de València, 2013-06-26)

[ES] La gestión de Sistemas de Recursos Hídricos (SRH) frecuentemente implica el planteamiento de múltiples objetivos en conflicto y la toma de decisiones bajo condiciones de incertidumbre. Debido a la diversidad de ...
Reduction of Uncertainty Propagation in the Airport Operations Network

Rodríguez Sanz, Álvaro; Gómez Comendador, Fernando; Arnaldo Valdés, Rosa (Editorial Universitat Politècnica de València, 2016-06-01)

[EN] Airport operations are a complex system involving multiple elements (ground access, landside, airside and airspace), stakeholders (ANS providers, airlines, airport managers, policy makers and ground handling companies) ...