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Comparison 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:googlescopusA 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:googlescopus