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Modeling infectious disease dynamics: Integrating contact tracing-based stochastic compartment and spatio-temporal risk models
(Elsevier, 2022)
Major infectious diseases such as COVID-19 have a significant impact on population lives and put enormous pressure on healthcare systems globally. Strong interventions, such as lockdowns and social distancing measures, ...
Spatio-temporal analysis with short- and long-memory dependence: a state-space approach
(Springer Berlin Heidelberg, 2018)
This paper deals with the estimation and prediction problems of spatio-temporal processes by using state-space methodology. The spatio-temporal process is represented through an infinite moving average decomposition. This ...
Mark variograms for spatio-temporal point processes
(Elsevier, 2017)
A spatio-temporal point process can be transformed into two marked point processes by taking the times or locations as marks. For these marked point processes mark variograms can be defined, opening a new way for the ...
Multivariate functional random fields: prediction and optimal sampling
(Springer Verlag, 2017)
This paper develops spatial prediction of a functional variable at unsampled sites, using functional covariates, that is, we present a functional cokriging method. We show that through the representation of each function ...
Spatial threshold exceedance analysis through marked point processes
(Wiley- Blackwell, 2012)
Indicators of recurrence, persistence and, in general, distribution patterns of extremal events defined by random field threshold exceedances provide relevant information on critical phenomena for risk assessment. Such ...
Sucre4Stem: Collaborative Projects Based on IoT Devices for Students in Secondary and Pre-University Education
(IEEE, 2022-04-12)
This paper describes a new technological evolution of the Sucre project, which aims to foster a vocation for science and develop computational thinking and programming skills in pre-university students. This improved version ...
A mechanistic spatio-temporal modeling of COVID-19 data
(Wiley-VCHGmbH, 2022-08-07)
Understandingtheevolutionofanepidemicisessentialtoimplementtimelyandefficient preventive measures. The availability of epidemiological data at a finespatio-temporal scale is both novel and highly useful in this regard. ...
A virtual globe tool for searching and visualizing geo-referenced media resources in social networks
(Springer, 2012)
The current collaborative context and resource sharing that drives Web 2.0 is gaining importance within academia and industry, which is stimulating the development of new techniques for content retrieval, sharing and ...
Non-locality of the Willis coupling in fluid laminates
(Elsevier B.V., 2022-02-04)
The closed form expressions of the effective properties in periodic fluid laminates are
derived thanks to the Padé approximation of the transfer matrix. A second-order Taylor
expansion of the transfer matrix elements ...
Predicting Student Performance with Virtual Resources Interaction Data
(Springer, 2023)
E-learning can be able to act where traditional education cannot, thanks to its ease of interaction with virtual resources. In this work, the possibility of predicting the final outcome of students based solely on their ...