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Heteroskedastic geographically weighted regression model for functional data
(Elsevier, 2020)
A large number of approaches for modelling spatially dependent functional variables often assume that the functional regression coefficients are constant over the region of interest. However, in many occasions it is far ...
Reflexiones sobre por qué el estudiantado no acude a las actividades complementarias y propuesta de soluciones
(JENUI Editores, 2022-07)
En el grado en Diseño y Desarrollo de Videojuegos de
la universidad Jaume I de Castellón parte del estudiantado tiene la opinión de que el profesorado que imparte la docencia en el grado deberían ser profesionales
del ...
How Earth Observation, Crop Modeling, and ICT can help rice cultivation: the ERMES project
(AGILE Digital Editions, 2014-06)
Due to pressure of food demand, increased price competition and demand for sustainable farming practices, it’s increasingly important to
optimize agricultural practices. The European FP7 project ERMES focuses specifically ...
Analyzing car thefts and recoveries with connections to modeling origin–destination point patterns
(Elsevier, 2020)
For a given region, we have a dataset composed of car theft loca-tionsalongwithalinkeddatasetofrecoverylocationswhich,dueto partial recovery, is a relatively small subset of the set of theftlocations. For an investigator ...
Analysis of Archetypes to Determine Time Use and Workload Profiles of Spanish University Professors
(MDPI, 2023)
Allocation of time use is important to develop appropriate policies, especially in terms
of gender equality. Individual well-being depends on many factors, including how time is spent.
Therefore, knowing and analysing ...
Geometric approach to non-relativistic quantum dynamics of mixed states
(AIP Publishing LLC, 2013-05)
In this paper we propose a geometrization of the non-relativistic quantum mechanics for mixed states. Our geometric approach makes use of the Uhlmann's principal fibre bundle to describe the space of mixed states and as a ...
Computational uncertainty quantification for random non-autonomous second order linear differential equations via adapted gPC: a comparative case study with random Fröbenius method and Monte Carlo simulation
(De Gruyter, 2018-12)
This paper presents a methodology to quantify computationally the uncertainty in a class of differential equations often met in Mathematical Physics, namely random non-autonomous second-order linear differential equations, ...
Some Notes to Extend the Study on Random Non-Autonomous Second Order Linear Differential Equations Appearing in Mathematical Modeling
(MDPI, 2018-11-27)
The objective of this paper is to complete certain issues from our recent contribution
(Calatayud, J.; Cortés, J.-C.; Jornet, M.; Villafuerte, L. Random non-autonomous second order linear
differential equations: mean ...
RSS Fingerprinting Dataset Size Reduction Using Feature-Wise Adaptive k-Means Clustering
(IEEE, 2020-10)
Modern IoT devices, that include smartphones and
wearables, usually have limited resources. They require efficient
methods to optimize the use of internal storage, provide computational
efficiency, and reduce energy ...
Developing a virtual trade fair using an agent-oriented approach
(Springer, 2015)
Online virtual trade fairs are becoming a popular way of establishing
economic trade relationships nowadays. In the current context of the world economy,
new ways of creating virtual environments where suppliers can show ...