Now showing items 1-20 of 126

    • 3D evaluation of mandibular skeletal changes in juvenile arthritis patients treated with a distraction splint: A retrospective follow-up 

      Otero González, María Florinda; Pedersen, Thomas Klit; Dalstra, Michel; Herlin, Troels; Verna, Carlalberta (E.H Angle Education and Research Foundation, 2016)
      Objective:  To evaluate three-dimensional (3D) condylar and mandibular growth in patients with juvenile idiopathic arthritis (JIA) with unilateral temporomandibular joint involvement treated with a distraction splint. Materials ...
    • Alignment of Hyperspectral Images Using KAZE Features 

      Ordóñez Iglesias, Álvaro; Argüello Pedreira, Francisco Santiago; Blanco Heras, Dora (MDPI, 2018)
      Image registration is a common operation in any type of image processing, specially in remote sensing images. Since the publication of the scale–invariant feature transform (SIFT) method, several algorithms based on feature ...
    • An extensive experimental survey of regression methods 

      Fernández Delgado, Manuel; Sirsat, Manisha Sanjay; Cernadas García, Eva; Alawadi, Sadi; Barro Ameneiro, Senén; Febrero Bande, Manuel (Elsevier, 2019)
      Regression is a very relevant problem in machine learning, with many different available approaches. The current work presents a comparison of a large collection composed by 77 popular regression models which belong to 19 ...
    • An Ontology-Based Interpretable Fuzzy Decision Support System for Diabetes Diagnosis 

      El-Sappagh, Shaker; Alonso Moral, José María; Ali, Farman; Ali, Amjad; Jang, Jun-Hyeog; Kwak, Kyung-Sup (IEEE, 2018)
      Diabetes is a serious chronic disease. The importance of clinical decision support systems (CDSSs) to diagnose diabetes has led to extensive research efforts to improve the accuracy, applicability, interpretability, and ...
    • Analysis of high concentrator photovoltaic modules in outdoor conditions: Influence of direct normal irradiance, air temperature, and air mass 

      Fernández, Eduardo F.; Rodrigo, P.; Fernández, J. I.; Almonacid, F.; Pérez Higueras, P.; García Loureiro, Antonio Jesús; Almonacid, G. (AIP Publishing, 2014)
      The study of high concentrator photovoltaic (HCPV) technology under real conditions is essential to understand its real behavior. The influence of direct normal irradiance (DNI), air temperature (Tair), and air mass (AM) ...
    • Analytical Model for Crosstalk in p-nwellPhotodiodes 

      Blanco Filgueira, Beatriz; López Martínez, Paula; Roldán Aranda, Juan Bautista; Hauer, Johann (IEEE, 2015)
      The response and crosstalk (CTK) of the p-n well photodiode were studied through device simulations performed with ATLAS and experimental data. As a result, a closed-form and explicit 2-D analytical model for its photoresponse ...
    • Análisis morfosintáctico y clasificación de entidades nombradas en un entorno Big Data 

      Gamallo Otero, Pablo; Pichel Campos, Juan Carlos; García González, Marcos; Abuín Mosquera, José Manuel; Fernández Pena, Anselmo Tomás (Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2014)
      Este artículo describe una suite de módulos lingüísticos para el castellano, basado en una arquitectura en tuberías, que incluye tareas de análisis morfosintáctico así como de reconocimiento y clasificación de entidades ...
    • Aplicaciones de la teoria de conjuntos borrosos 

      Barro Ameneiro, Senén; Bugarín Diz, Alberto José; Félix Lamas, Paulo; Losada Carril, David Enrique (Universidade de Santiago de Compostela. Servizo de Publicacións e Intercambio Científico, 2005-01)
    • Application of Functional Data Analysis for the Prediction of Maximum Heart Rate 

      Matabuena Rodríguez, Marcos; Vidal Aguiar, Juan Carlos; Hayes, Philip R.; Saavedra García, Miguel; Huelín Trigo, Fernando (IEEE, 2019)
      Maximum heart rate (MHR) is widely used in the prescription and monitoring of exercise intensity, and also as a criterion for the termination of sub-maximal aerobic fitness tests in clinical populations. Traditionally, ...
    • Assessment, Design and Implementation of a Private Cloud for MapReduce Applications 

      Salgueiro, M.; González Gómez, Patricia; Fernández Pena, Anselmo Tomás; Cabaleiro Domínguez, José Carlos (OALib, 2014)
      Scientific computation and data intensive analyses are ever more frequent. On the one hand, the MapReduce programming model has gained a lot of attention for its applicability in large parallel data analyses and Big Data ...
    • Assisting Forensic Identification through Unsupervised Information Extraction of Free Text Autopsy Reports: The Disappearances Cases during the Brazilian Military Dictatorship 

      Martín Rodilla, Patricia; Hattori, Marcia L.; González Pérez, César (MDPI, 2019)
      Anthropological, archaeological, and forensic studies situate enforced disappearance as a strategy associated with the Brazilian military dictatorship (1964–1985), leaving hundreds of persons without identity or cause of ...
    • Automatic decision support system based on SAR data for oil spill detection 

      Mera, David; Cotos, José M.; Varela-Pet, José; Rodríguez, Pablo G.; Caro, Andrés (Elsevier, 2014-07-31)
      Global trade is mainly supported by maritime transport, which generates important pollution problems. Thus, effective surveillance and intervention means are necessary to ensure proper response to environmental emergencies. ...
    • Automatic detection of pulmonary nodules: Evaluation of performance using two different MDCT scanners 

      Souto Bayarri, José Miguel; Suárez Cuenca, Jorge Juan; García Tahoces, Pablo; Revel, Marie-Pierre; Delhaye, Damien; Carreira Villamor, José Martín; Remy-Jardin, Martin; Remy, Jacque (Sciedu Press, 2012)
      The purpose of this study was to evaluate the diagnostic performance of a computer-aided diagnosis (CAD) system, on the detection of pulmonary nodules in multidetector row computed tomography (MDCT) images, by using two ...
    • Automatic Extraction of Road Points from Airborne LiDAR Based on Bidirectional Skewness Balancing 

      Martínez Sánchez, Jorge; Fernández Rivera, Francisco; Cabaleiro Domínguez, José Carlos; López Vilariño, David; Fernández Pena, Anselmo Tomás (MDPI, 2020)
      Road extraction from Light Detection and Ranging (LiDAR) has become a hot topic over recent years. Nevertheless, it is still challenging to perform this task in a fully automatic way. Experiments are often carried out over ...
    • Benchmarking of FinFET, Nanosheet, and Nanowire FET Architectures for Future Technology Nodes 

      Nagy, Daniel; Espiñeira Deus, Gabriel; Indalecio Fernández, Guillermo; García Loureiro, Antonio Jesús; Kalna, Karol; Seoane Iglesias, Natalia (IEEE, 2020)
      Nanosheet (NS) and nanowire (NW) FET architectures scaled to a gate length (L G ) of 16 nm and below are benchmarked against equivalent FinFETs. The device performance is predicted using a 3D finite element drift-diffusion/Monte ...
    • A big data approach to metagenomics for all-food-sequencing 

      Kobus, Robin; Abuín Mosquera, José Manuel; Müller, André; Hellmann, Sören Lukas; Pichel Campos, Juan Carlos; Fernández Pena, Anselmo Tomás; Hildebrandt, Andreas; Hankeln, Thomas; Schmidt, Bertil (BMC, 2020)
      Background All-Food-Sequencing (AFS) is an untargeted metagenomic sequencing method that allows for the detection and quantification of food ingredients including animals, plants, and microbiota. While this approach avoids ...
    • A Big Data Platform for Real Time Analysis of Signs of Depression in Social Media 

      Martínez Castaño, Rodrigo; Pichel Campos, Juan Carlos; Losada Carril, David Enrique (MDPI, 2020)
      In this paper we propose a scalable platform for real-time processing of Social Media data. The platform ingests huge amounts of contents, such as Social Media posts or comments, and can support Public Health surveillance ...
    • Characterizing Quantifier Fuzzification Mechanisms: A behavioral guide for applications 

      Díaz Hermida, Félix; Pereira Fariña, Martín; Vidal Aguiar, Juan Carlos; Ramos Soto, Alejandro (Elsevier, 2018-08-15)
      Important advances have been made in the fuzzy quantification field. Nevertheless, some problems remain when we face the decision of selecting the most convenient model for a specific application. In the literature, several ...
    • Closed-Form and Explicit Analytical Model for Crosstalk in CMOS Photodiodes 

      Blanco Filgueira, Beatriz; López Martínez, Paula; Roldán Aranda, Juan Bautista (IEEE, 2013-08-20)
      A closed-form and explicit 2-D analytical model for crosstalk(CTK) effects in p-n + CMOS photodiodes for pixel design optimization has been developed in this paper. This model complements and extends a previous development ...
    • Cloud Computing for Climate Modelling: Evaluation, Challenges and Benefits 

      Montes, Diego; Añel, Juan A.; Wallom, David C. H.; Uhe, Peter; Caderno, Pablo V.; Fernández Pena, Anselmo Tomás (MDPI, 2020)
      Cloud computing is a mature technology that has already shown benefits for a wide range of academic research domains that, in turn, utilize a wide range of application design models. In this paper, we discuss the use of ...





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