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Recent Submissions
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MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures
(Springer Nature, 2021)
Part of book or chapter of book
Open AccessAutomation of brain tumor segmentation in 3D magnetic resonance images (MRIs) is key to assess the diagnostic and treatment of the disease. In recent years, convolutional neural networks (CNNs) have shown improved results ... -
Security in transnational interoperable PPDR communications: threats, requirements and architecture solution
(IGI Publishing, 2019-02)
Part of book or chapter of book
Restricted access - publisher's policyThe relevance of cross border security operations has been identified as a priority at European level for a long time. A European network where Public Protection and Disaster Relief (PPDR) forces share communications ... -
RocExs 2017 field trip: rockfall risk management in the Montserrat massif
(International Centre for Numerical Methods in Engineering (CIMNE), 2017)
Part of book or chapter of book
Open AccessThis field trip has been devised as the closure of this sixth edition of the RocExs workshop, on the Wednesday May 24th. According to the purposes of this interdisciplinary meeting, most of the suggested topics for the ... -
Urban applications
(Springer, 2021)
Part of book or chapter of book
Open AccessThe experimental result reported in this chapter review the application of (high resolution) Synthetic Aperture Radar (SAR) data to extract valuable information for monitoring urban environments in space and time. Full ... -
Basic principles of SAR polarimetry
(Springer, 2021)
Part of book or chapter of book
Open AccessThis chapter critically summarizes the main theoretical aspects necessary for a correct processing and interpretation of the polarimetric information towards the development of applications of synthetic aperture radar (SAR) ... -
Enhancing online knowledge graph population with semantic knowledge
(Springer, 2020-11-01)
Part of book or chapter of book
Open AccessKnowledge Graphs (KG) are becoming essential to organize, represent and store the world’s knowledge, but they still rely heavily on humanly-curated structured data. Information Extraction (IE) tasks, like disambiguating ... -
Technologies for emergency rollout of broadband public protection and disaster relief (BB-PPDR) communications in humanitarian crisis zones
(The Institution of Engineering and Technology, 2020-08-15)
Part of book or chapter of book
Restricted access - publisher's policyThe ongoing migration flows of refugees and immigrants who escape from war and conflict zones to seek asylum and stable living conditions in European countries, have created a multitude of humanitarian crisis sites. The ... -
Telecomunicacions
(Enciclopèdia Catalana, SLU, 2019-03-08)
Part of book or chapter of book
Restricted access - publisher's policyL’Anuari 2018 recull els fets, les personalitats, els avenços científics i tecnològics, les novetats culturals i els temes de debat que han estat més presents en l’àmbit públic al llarg de l’any 2018. L’estructura de ... -
Nanosatellites and applications to commercial and scientific missions
(2019-11-12)
Part of book or chapter of book
Open AccessIn the past two decades, a silent revolution has taken place in the space domain, leading to what today is known as “New Space.” We have passed from a selected group of countries, space agencies, and big industries building, ... -
Unsupervised GRN Ensemble
(Springer, 2019)
Part of book or chapter of book
Restricted access - publisher's policyInferring gene regulatory networks from expression data is a very challenging problem that has raised the interest of the scientific community. Different algorithms have been proposed to try to solve this issue, but it has ... -
Conditional distribution variability measures for causality detection
(Springer, 2019)
Part of book or chapter of book
Restricted access - publisher's policyIn this paper we derive variability measures for the conditional probability distributions of a pair of random variables, and we study its application in the inference of causal-effect relationships. We also study the ... -
Expectation–maximisation based distributed estimation in sensor networks
(Institution of Engineering and Technology, 2019-03-01)
Part of book or chapter of book
Restricted access - publisher's policyEstimating the unknown parameters of a statistical model based on the observations collected by a sensor network is an important problem with application in multiple fields. In this setting, distributed processing, by which ...
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