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A study of deep neural networks for human activity recognition
(Wiley, 2020)
Human activity recognition and deep learning are two fields that have attracted attention in recent years. The former due to its relevance in many application domains, such as ambient assisted living or health monitoring, ...
A European Approach to the Establishment of Data Spaces
(MDPI, 2022-08-19)
Within a context defined by the rapid increase in the availability of data, combined
with the complexity of data sources, infrastructures, technologies and actors involved in
data sharing flows, the European Union (EU) ...
Parabolicity criteria and characterization results for submanifoldsof bounded mean curvature in model manifolds with weights
(Elsevier, 2020)
Let P be a submanifold properly immersed in a rotationally symmetric manifold
having a pole and endowed with a weight e
h. The aim of this paper is twofold. First, by assuming certain control on the h-mean curvature of ...
A GIS-based methodological framework to identify superficial water sources and their corresponding conduction paths for gravity-driven irrigation systems in developing countries
(Elsevier Masson, 2020-04-01)
The limited availability of fresh water is a major constraint to agricultural productivity and livelihood security in many developing countries. Within the coming decades, smallholder farmers in drought-prone areas are ...
Reproducibilidad en AGILE: Experiencias, logros y recomendaciones
(Comisión de Cartografía del Instituto Panamericano de Geografía e Historia (IPGH), 2020)
Este artículo describe las experiencias, actividades realizadas, recursos generados y recomendaciones para la promoción e incentivación de prácticas en investigación reproducible en el campo de la ciencia de la información ...
Intrinsic and extrinsic comparison results for isoperimetric quotients and capacities in weighted manifolds
(ElsevierAcademic Press, 2020-08-13)
Let (M, g)be a complete non-compact Riemannian manifold together with a function eh, which weights the Hausdorff measures associated to the Riemannian metric. In this work we assume lower or upper radial bounds on some ...
Partial and semi-partial statistics of spatial associations for multivariate areal data
(Wiley, 2020-06-12)
The analysis of correlation structures among multivariate spatially aggregated data has become increasingly important and poses substantial challenges. This article concerns the development of partial and semi‐partial ...
Modeling the Received Signal Strength Intensity of Wi-Fi signal using Hidden Markov Models
(Elsevier, 2021-02-23)
Wi-Fi fingerprinting is one of the methods that are widely used to provide Location Based Services (LBS). Gaussian, or a mixture of Gaussians, is the preferred model used by Wi-Fi fingerprinting for LBS. Nevertheless, ...
A spatial functional count model for heterogeneity analysis in time
(Springer, 2021)
A spatial curve dynamical model framework is adopted for functional prediction of counts in a spatiotemporal log-Gaussian Cox process model. Our spatial functional estimation approach handles both wavelet-based heterogeneity ...
Leveraging Container Technologies in a GIScience Project: A Perspective from Open Reproducible Research
(MDPI, 2020-02-20)
Scientific reproducibility is essential for the advancement of science. It allows the results of previous studies to be reproduced, validates their conclusions and develops new contributions based on previous research. ...