BackExaminar Artículos por departamento (cas.) "Arquitectura y Tecnología de Computadores"
Now showing items 1-20 of 46
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A Generalization Performance Study Using Deep Learning Networks in Embedded Systems
; ; Arbelaiz Gallego, Olatz
; ; (MDPI, 2021-02-03)
Deep learning techniques are being increasingly used in the scientific community as a consequence of the high computational capacity of current systems and the increase in the amount of data available as a result of the ... -
A hierarchical architecture for recognising intentionality in mental tasks on a brain-computer interface
; Martín Aramburu, José Ignacio; Martínez Rodríguez, Raquel ; Arruti Illarramendi, Andoni ; ; Sierra Araujo, Basilio (Public Library Science, 2019-06-18)
A brain-computer interface (BCI), based on motor imagery EEG, uses information extracted from the electroencephalography signals generated by a person who intends to perform any action. One of the most important issues of ... -
A Hierarchical Machine Learning Solution for the Non-Invasive Diagnostic of Autonomic Dysreflexia
; ; Yera Gil, Ainhoa; Martínez Rodríguez, Raquel ; ; ; (MDPI, 2022-02-15)
More than half of patients with high spinal cord injury (SCI) suffer from episodes of autonomic dysreflexia (AD), a condition that can lead to lethal situations, such as cerebral haemorrhage, if not treated correctly. ... -
A Method for Dynamically Selecting the Best Frequency Hopping Technique in Industrial Wireless Sensor Network Applications
Fernández de Gorostiza, Erlantz; Berzosa Macho, Jorge; Mabe Alvarez, Jon; Cortiñas Rodríguez, Roberto (MDPI, 2018-02-23)
Industrial wireless applications often share the communication channel with other wireless technologies and communication protocols. This coexistence produces interferences and transmission errors which require appropriate ... -
A Survey of Performance Modeling and Simulation Techniques for Accelerator-Based Computing
López Novoa, Unai; ; (IEEE, 2014-02-25)
The high performance computing landscape is shifting from collections of homogeneous nodes towards heterogeneous systems, in which nodes consist of a combination of traditional out-of-order execution cores and accelerator ... -
A survey on Sign Language machine translation
; Pérez de Viñaspre Garralda, Olatz; Labaka Intxauspe, Gorka (Elsevier, 2023-03)
Sign Languages (SLs) are employed by deaf and hard-of-hearing (DHH) people to communicate on a daily basis. However, the communication with hearing people still faces some barriers, mainly because of the scarce knowledge ... -
Accessible Ubiquitous Services for SupportingDaily Activities: A Case Study with Young Adultswith Intellectual Disabilities
; ; ; ; ; Garay Vitoria, Néstor (Taylor and Francis, 2018-12-28)
Ubiquitous environments have considerable potential to provide services supporting daily activities (using public transportation to and from workplace, using ATM machines, selecting and purchasing goods in ticketing or ... -
An efficient implementation of kernel density estimation for multi-core and many-core architectures
López Novoa, Unai; Sáenz Aguirre, Jon ; ; (Sage, 2015-03-16)
Kernel density estimation (KDE) is a statistical technique used to estimate the probability density function of a sample set with unknown density function. It is considered a fundamental data-smoothing problem for use with ... -
Una aproximación a la situación de la mujer en los estudios universitarios de informática
; ; ; Marichalar Anglada, Montserrat (CSIC, 2008-09)
[ES]En los últimos años, la baja participación de la mujer y la tendencia al descenso de los porcentajes de alumnas matriculadas en los estudios universitarios de informática ha sido objeto de estudio para investigadoras/es ... -
Automatic detection of the mental state in responses towards relaxation
; ; Martínez Rodríguez, Raquel; ; (Springer, 2023-03)
Nowadays, considering society’s highly demanding lifestyles, it is important to consider the usefulness of relaxation from the perspective of both psychology and clinical practice. The response towards relaxation (RResp) ... -
Benchmarking Object Detection Deep Learning Models in Embedded Devices
Cantero, David; Esnaola-Gonzalez, Iker ; ; (MDPI, 2022)
Object detection is an essential capability for performing complex tasks in robotic applications. Today, deep learning (DL) approaches are the basis of state-of-the-art solutions in computer vision, where they provide very ... -
Changes in Day/Night Activity in the 6-OHDA-Induced Experimental Model of Parkinson’s Disease: Exploring Prodromal Biomarkers
Requejo Rodríguez, Catalina; ; ; Fernández Gómez de Segura, Elsa; Calvo Salomón, Pilar María; ; Miguélez Palomo, Cristina; Cardona Grifoll, Laura; Cepeda Berenguer, Hodei; ; Lafuente Sánchez, José Vicente (Frontiers Media, 2020-10-14)
The search for experimental models mimicking an early stage of Parkinson's disease (PD) before motor manifestations is fundamental in order to explore early signs and get a better prognosis. Interestingly, our previous ... -
Characterization of e-Government adoption in Europe
Yera Gil, Ainhoa; Arbelaiz Gallego, Olatz ; Jauregui, Oier; (Plos One, 2020-04-17)
The digital divide in Europe has not yet been bridged and thus more contributions towards understanding the factors affecting the different dimensions involved are required. This research offers some insights into the topic ... -
Classifier Subset Selection for the Stacked Generalization Method Applied to Emotion Recognition in Speech
; Sierra Araujo, Basilio; Arruti Illarramendi, Andoni ; ; Garay Vitoria, Néstor (MDPI, 2016-01)
In this paper, a new supervised classification paradigm, called classifier subset selection for stacked generalization (CSS stacking), is presented to deal with speech emotion recognition. The new approach consists of an ... -
Classifier Subset Selection to construct multi-classifiers by means of estimation of distribution algorithms
Mendialdua Beitia, Iñigo; Arruti Illarramendi, Andoni ; ; ; Sierra Araujo, Basilio (Elsevier, 2015-01-24)
This paper proposes a novel approach to select the individual classifiers to take part in a Multiple-Classifier System. Individual classifier selection is a key step in the development of multi-classifiers. Several works ... -
Context- and Template-Based Compression for Efficient Management of Data Models in Resource-Constrained Systems
Berzosa Macho, Jorge; Gardeazabal Montón, Pedro José Luis; Cortiñas Rodríguez, Roberto (MDPI, 2017-08)
The Cyber Physical Systems (CPS) paradigm is based on the deployment of interconnected heterogeneous devices and systems, so interoperability is at the heart of any CPS architecture design. In this sense, the adoption of ... -
Design and development of a gait training system for Parkinson’s disease
Garzo Manzanares, Ainara; Silva, Paula Alexandra; Garay Vitoria, Néstor; Hernandez, Erik; Cullen, Stephen; Cochen De Cock, Valérie; Ihalainen, Petra; Villing, Rudi (Public Library Science, 2018-11-12)
Background Rhythmic Auditory Stimulation (RAS) is an effective technique to improve gait and reduce freezing episodes for Persons with Parkinson's Disease (PwPD). The BeatHealth system, which comprises a mobile application, ... -
Development and Implementation of a Community-Based Research Network
(Cambridge University Press, 2020-05-18)Introduction: People aging with long-term physical disabilities (PAwLTPD), meaning individuals with onset of disability from birth through midlife, often require long-term support services (LTSS) to remain independence. ... -
Diagnostic classification of Parkinson’s disease based on non-motor manifestations and machine learning strategies
; Arbelaiz Gallego, Olatz; Gurrutxaga Goikoetxea, Ibai ; ; Perona Balda, Iñigo ; ; ; ; ; ; (Springer, 2023-03)
Non-motor manifestations of Parkinson’s disease (PD) appear early and have a significant impact on the quality of life of patients, but few studies have evaluated their predictive potential with machine learning algorithms. ... -
Distância diacrónica automática entre variantes diatópicas do português e do espanhol
; ; ; Alegría Loinaz, Iñaki (Universidade do Minho, 2020-06-29)
[POR] O objetivo deste trabalho é aplicar uma metodologia baseada na perplexidade, para calcular automaticamente a distância interlinguística entre diferentes períodos históricos de variantes diatópicas de idiomas. Esta ...