Mostrando 10 resultados de: 18
Filtros aplicados
Publisher
Advances in Applied Probability(1)
Hydrological Processes(1)
Iberian Conference on Information Systems and Technologies, CISTI(1)
Information Fusion(1)
Journal of Hydrology(1)
Área temáticas
Programación informática, programas, datos, seguridad(6)
Ciencias de la computación(5)
Probabilidades y matemática aplicada(5)
Enfermedades(2)
Escuelas y sus actividades; educación especial(2)
Área de conocimiento
Estadísticas(4)
Optimización matemática(4)
Ciencia ambiental(2)
Inferencia estadística(2)
Proceso estocástico(2)
Objetivos de Desarrollo Sostenible
ODS 17: Alianzas para lograr los objetivos(12)
ODS 9: Industria, innovación e infraestructura(11)
ODS 3: Salud y bienestar(7)
ODS 11: Ciudades y comunidades sostenibles(5)
ODS 8: Trabajo decente y crecimiento económico(5)
Origen
scopus(11)
A Study on User Experience of Smart Glasses for Higher Education Students
Conference ObjectAbstract: This paper reports a study on the User experience (UX) of STEM (e.g., Science, Technology, EngineeriPalabras claves:Augmented reality, Human-computer Interaction, Smart Glasses, Stem education, Usability, User experienceAutores:Francisco Vera, Gonzalo Gabriel Méndez, Rodríguez A., Ronny Santana, Rossi G., Rybarczyk Y.P.Fuentes:googlescopusA spatio-temporal Bayesian model for syndromic surveillance: properties and model performance
OtherAbstract: Methods In this paper, we propose an inference model for determining the location of outbreaks of epPalabras claves:Autores:Francisco VeraFuentes:googleA spatio-temporal absorbing state model for disease and syndromic surveillance
ArticleAbstract: Reliable surveillance models are an important tool in public health because they aid in mitigating dPalabras claves:Conditional autoregressive model, Hidden markov model, Hierarchical model, influenzaAutores:Banks D., Datta G., Francisco Vera, Heaton M.J., Karr A.F., Lynch J., Zou J.Fuentes:googlescopusComparison of deep percolation rates below contrasting land covers with a joint canopy and soil model
ArticleAbstract: A Rutter-type canopy interception model is combined with a 1-D physically-based soil water flow modePalabras claves:Evaporation of canopy interception, GALAPAGOS, groundwater recharge, land use change, transpiration, Water balance modellingAutores:Alejandra Cortés González, Chaumont C., Christian Gonzalo Dominguez Gonzalez, D'Ozouville N., Francisco Vera, Marcos Villacís, Pryet A., Tournebize J., Violette S.Fuentes:googlescopusAsymptotic distribution theory for contamination models
OtherAbstract: In many situations one is interested in identifying observations that come from sources of variationPalabras claves:Autores:Francisco VeraFuentes:googleBatch process control and monitoring: a Dual STATIS and Parallel Coordinates (DS-PC) approach
ArticleAbstract: Multivariate data collected from batches is usually monitored via control charts (CCs) based on MPCAPalabras claves:Batch process, Dual STATIS, multivariate control charts, off-line monitoring, Parallel CoordinatesAutores:Francisco Vera, Jose Moreno-Chavez, Miriam Ramos-Barberán, Miriam Vanessa Hinojosa-Ramos, Purificación Galindo-Villardón, Ruiz Barzola OmarFuentes:googlescopusBayesian CAR models for syndromic surveillance on multiple data streams: Theory and practice
ArticleAbstract: Syndromic surveillance has, so far, considered only simple models for Bayesian inference. This paperPalabras claves:Bayes, CAR models, Gibbs distribution, Markov random field, Syndromic surveillanceAutores:Banks D., Datta G., Francisco Vera, Karr A.F., Lynch J., Niemi J.Fuentes:googlescopusBayesian Methods for Syndromic Surveillance
OtherAbstract: OBJECTIVE This paper describes a Bayesian approach to syndromic surveillance. The method provides moPalabras claves:Autores:Francisco VeraFuentes:googleBayesian methodology for spatio-temporal syndromic surveillance
OtherAbstract: Bayesian Methodology for Spatio-Temporal Syndromic Surveillance Page 1 Bayesian Methodology for SpatPalabras claves:Autores:Francisco VeraFuentes:googleBayesian methodology for the analysis of spatial-temporal surveillance data
ArticleAbstract: Early and accurate detection of outbreaks is one of the most important objectives of syndromic survePalabras claves:Conditional autoregressive process, Markov random field, Spatial statistics, Spatio-temporal, Syndromic surveillanceAutores:Banks D., Datta G., Francisco Vera, Heaton M.J., Karr A.F., Lynch J., Zou J.Fuentes:googlescopus