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Reducing complexity in polygonal meshes with view-based saliency
(Elsevier, 2014-08)
Salient features in 3D meshes such as small high-curvature details in the middle of largely flat regions are easily ignored by most mesh simplification methods. Nevertheless, these features can be perceived by human observers ...
Lightweight Hybrid CNN-ELM Model for Multi-building and Multi-floor Classification
(IEEE, 2022)
Machine learning models have become an essential
tool in current indoor positioning solutions, given their high capabilities to extract meaningful information from the environment.
Convolutional neural networks (CNNs) ...
Mobile Access to Sensor Networks by Using GIS Standards and RESTful Services
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
There is an increasing deployment of sensor networks that measure the physical state of the environment. These networks provide large volumes of data in many different formats, resolutions, and scales. There are different ...
Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets
(IEEE, 2022)
Wearable and IoT devices requiring positioning and
localisation services grow in number exponentially every year.
This rapid growth also produces millions of data entries that
need to be pre-processed prior to being ...
Multivariate product-shot-noise Cox point process models
(Wiley, 2015)
We introduce a new multivariate product-shot-noise Cox process which is useful for modeling multi-species spatial point patterns with clustering intra-specific interactions and neutral, negative, or positive inter-specific ...
Significance tests for covariate-dependent tredns in inhomogeneous spatio-temporal point processes
(Springer Verlag, 2014-03)
Modeling and inference for spatial and spatio-temporal point processes is an issue that has been broadly investigated in the last years. Application fields such as forestry, epidemiology and ecology have been the main ...
Second-order analysis of anisotropic spatiotemporal point process data
(Wiley, 2015-02)
Second-order orientation methods provide a natural tool for the analysis of spatial point process data. In this paper, we extend to the spatiotemporal setting the spatial point pair orientation distribution function. The ...
Pinpointing spatio-temporal interactions in wildfire patterns
(Springer-Verlag, 2012-12)
The spatial and spatio-temporal patterns of wildfire incidence and their relationship to various geographical and environmental variables are analyzed. Such relationships may be treated as components in particular point ...
On the use of data filtering techniques for credit risk prediction with instance-based models
(Elsevier, 2012)
Many techniques have been proposed for credit risk prediction, from statistical models to artificial intelligence methods. However, very few research efforts have been devoted to deal with the presence of noise and outliers ...
Modeling Reconfigurable Intelligent Surfaces-aided Directional Communications for Multicast Services
(Institute of Electrical and Electronics Engineers, IEEE, 2022)
According to the 6G vision, the evolution of wireless communication systems will soon lead to the possibility of supporting Tbps communications, as well as satisfying, individually or jointly, a plethora of other very ...