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Implementation of an artificial neural network on the test Barcelona workstation as a predictive model for the classification of normal, mild cognitive impairment and Alzheimer's disease subjects using the Neuronorma battery
(Knowledge E, 2018-11-01)
Article
Accés obertObjective: to implement an online Artificial Neural Network (ANN) that provides the probability of a subject having mild cognitive impairment(MCI) or Alzheimer’s disease (AD). Method: Different ANN’s were trained with a ... -
Unsupervised online clustering and detection algorithms using crowdsourced data for malaria diagnosis
(2019-02-01)
Article
Accés obertCrowdsourced data in science might be severely error-prone due to the inexperience of annotators participating in the project. In this work, we present a procedure to detect specific structures in an image given tags ... -
Collective unambiguous positioning with high-order BOC signals
(2018-01-01)
Article
Accés obertThe unambiguous estimation of high-order BOC signals in harsh propagation conditions is still an open problem in the literature. This paper proposes to overcome the limitations observed in state-of-the-art unambiguous ... -
A service-constrained positioning strategy for an autonomous fleet of airborne base stations
(Multidisciplinary Digital Publishing Institute (MDPI), 2018-10)
Article
Accés obertThis paper proposes a positioning strategy for a fleet of unmanned aerial vehicles (UAVs) airlifting wireless base stations driven by communication constraints. First, two schedulers that model the distribution of resources ... -
Improved characterization and modeling of equatorial plasma depletions
(2018-08-22)
Article
Accés obertThis manuscript presents a method to identify the occurrence of Equatorial Plasma Bubbles (EPBs) with data gathered from receivers of Global Navigation Satellite System (GNSS). This method adapts a previously existing ... -
Blind multiclass ensemble classification
(2018)
Article
Accés obertThe rising interest in pattern recognition and data analytics has spurred the development of innovative machine learning algorithms and tools. However, as each algorithm has its strengths and limitations, one is motivated ... -
Strong secrecy on a class of degraded broadcast channels using polar codes
(2018-06-15)
Article
Accés obertAsymptotic secrecy-capacity achieving polar coding schemes are proposed for the memoryless degraded broadcast channel under different reliability and secrecy requirements: layered decoding or layered secrecy. In these ... -
Multiantenna GLR detection of rank-one signals with known power spectrum in white noise with unknown spatial correlation
(2012-06)
Article
Accés restringit per política de l'editorialMultiple-antenna detection of a Gaussian signal with spatial rank one in temporally white Gaussian noise with arbitrary and unknown spatial covariance is considered. This is motivated by spectrum sensing problems in the ... -
Cramer-Rao bounds in the estimation of time of arrival in fading channels
(2018-03-16)
Article
Accés obertThis paper computes the Cramer-Rao bounds for the time of arrival estimation in a multipath Rice and Rayleigh fading scenario, conditioned to the previous estimation of a set of propagation channels, since these channel ... -
Feasibility of precise navigation in high and low latitude regions under scintillation conditions
(2018-02-06)
Article
Accés obertScintillation is one of the most challenging problems in Global Navigation Satellite Systems (GNSS) navigation. This phenomenon appears when the radio signal passes through ionospheric irregularities. These irregularities ... -
Performance analysis of feedback-free collision resolution NDMA protocol
(2018-12-01)
Article
Accés obertTo support communications of a large number of deployed devices while guaranteeing limited signaling load, low energy consumption, and high reliability, future cellular systems require efficient random access protocols. ... -
Energy efficiency in latency-constrained application offloading from mobile clients to multiple virtual machines
(2017-11-28)
Article
Accés obertThis paper addresses the energy-latency trade-off in distributed application offloading, in which an energy-limited handset offloads totally or partially an application to one or several virtual machines (VMs) located in ...
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