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A Bayesian machine learning approach for spatio-temporal prediction of COVID-19 cases
Springer (2022)Modeling the spread of infectious diseases in space and time needs to take care of complex dependencies and uncertainties. Machine learning methods, and neural networks, in particular, are useful in modeling this sort of ... -
A Bayesian Spatial Analysis of the Heterogeneity in Human Mobility Changes During the First Wave of the COVID-19 Epidemic in the United States
American Statistician (2021)The spread of COVID-19 in the U.S. prompted nonpharmaceutical interventions which caused a reduction in mobility everywhere, although with large disparities between different counties. Using a Bayesian spatial modeling ... -
A bias correction function for classification performance assessment in two-class imbalanced problems
Elsevier (2014)This paper introduces a framework that allows to mitigate the impact of class imbalance on most scalar performance measures when used to evaluate the behavior of classifiers. Formally, a correction function is defined with ... -
A case study on the use of model quality testing tools for the assessment of MCAD models and drawings
Ahmad Ibrahim (2017-08)In this paper, we build on the idea that specialized instruction improves the overall quality of CAD documents by guiding students into selecting the most suitable modeling strategies and approaches. To this end, automatic ... -
A classification of the cofinal structures of precompacta
Elsevier (2020-08)We provide a complete classification of the possible cofinal structures of the families of precompact (totally bounded) sets in general metric spaces, and compact sets in general complete metric spaces. Using this ... -
A Collaborative Approach Using Neural Networks for BLE-RSS Lateration-Based Indoor Positioning
IEEE (2022)In daily life, mobile and wearable devices with high computing power, together with anchors deployed in indoor environments, form a common solution for the increasing demands for indoor location-based services. Within ... -
A comparative study in the standardisation of IoT devices using geospatial web standards
Institute of Electrical and Electronics Engineers (2020-10-15)Although billions of devices are embedded in the World Wide Web through the Internet of Things, there is still a lack of a common, interoperable way to connect them and make them interact seamlessly. IoT has also found its ... -
A Comprehensive and Reproducible Comparison of Clustering and Optimization Rules in Wi-Fi Fingerprinting2020
IEEE (2020-08-17)Wi-Fi fingerprinting is a well-known technique used for indoor positioning. It relies on a pattern recognition method that compares the captured operational fingerprint with a set of previously collected reference samples ... -
A comprehensive IoT node proposal using open hardware. A smart farming use case to monitor vineyards.
MDPI (2018)The last decade has witnessed a significant reduction in prices and an increased performance of electronic components, coupled with the influence of the shift towards the generation of open resources, both in terms of ... -
A continuous wavelet-based approach to detect anisotropic properties in spatial point processes
World Scientific Publishing (2013)A two-dimensional stochastic point process can be regarded as a random measure and thus represented as a (countable) sum of Delta Dirac measures concentrated at some points. Integration with respect to the point process ... -
A countable free closed non-reflexive subgroup of Zc
American Mathematical Society (2017)We prove that the group G = Hom(ZN, Z) of all homomorphisms from the Baer-Specker group ZN to the group Z of integer numbers endowed with the topology of pointwise convergence contains no infinite compact subsets. We ... -
A Decentralised Location-Based Reputation Management System in the IoT using Blockchain
Institute of Electrical and Electronics Engineers (2022-01-31)The Internet of Things allows an object to connect to the Internet and observe or interact with a physical phenomenon. The communication technologies allow one IoT device to discover and communicate with another in order ... -
A dichotomy property for locally compact groups
Elsevier (2018-08)We extend to metrizable locally compact groups Rosenthal's theorem describing those Banach spaces containing no copy of l1. For that purpose, we transfer to general locally compact groups the notion of interpolation (Io) ... -
A Distance-based Method for Spatial Prediction in the Presence of Trend
Springer (2020-06-01)A new method based on distances for modeling continuous random data in Gaussian random fields is presented. In non-stationary cases in which a trend or drift is present, dealing with information in regionalized mixed ... -
A distance-based model for spatial prediction using radial basis functions
Springer Berlin Heidelberg (2018)In the context of local interpolators, radial basis functions (RBFs) are known to reduce the computational time by using a subset of the data for prediction purposes. In this paper, we propose a new distance-based spatial ... -
A domain-independent methodology to analyze IoT data streams in real-time. A proof of concept implementation for anomaly detection from environmental data
Taylor & Francis (2016-07)Pushed by the Internet of Things (IoT) paradigm modern sensor networks monitor a wide range of phenomena, in areas such as environmental monitoring, health care, industrial processes, and smart cities. These networks provide ... -
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) ... -
A family of Markov processes in maximal compact subgroups of a semisimple Lie groups
Elsevier (2017)We propose and define a family of marked point processes in noncompact semisimple Lie groups. We first generate Lévy processes via marked point processes by using jump–diffusion processes. Then we build a family of Markov ... -
A fast approach for perceptually-based fitting strokes into elliptical arcs
Springer (2015-04-30)Fitting elliptical arcs to strokes of an input sketch is discussed. We describe an approach which automatically combines existing algorithms to get a balance of speed and precision. For measuring precision, we introduce ... -
A first‐order, ratio‐based nonparametric separability test for spatiotemporal point processes
(2018-02)Testing whether the intensity function of a spatiotemporal point process is sep- arable should be one of the first steps in the analysis of any observed pattern. Under separability, the risk of observing an event at time ...