Browsing EC-Artigos by Title
Now showing items 1-20 of 142
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Alignment of Hyperspectral Images Using KAZE Features
(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 empirical study on how humans appreciate automated counterfactual explanations which embrace imprecise information
(Elsevier, 2022)The explanatory capacity of interpretable fuzzy rule-based classifiers is usually limited to offering explanations for the predicted class only. A lack of potentially useful explanations for non-predicted alternatives can ... -
An extensive experimental survey of regression methods
(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-aware integration of clinical models, terminologies and guidelines: an exploratory study of the Scale for the Assessment and Rating of Ataxia (SARA)
(BMC, 2017)Background: Electronic rating scales represent an important resource for standardized data collection. However, the ability to exploit reasoning on rating scale data is still limited. The objective of this work is to ... -
An Ontology-Based Interpretable Fuzzy Decision Support System for Diabetes Diagnosis
(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
(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
(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
(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
(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
(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, ... -
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
(Elsevier, 2020)Artificial intelligence and all its supporting tools, e.g. machine and deep learning in computational intelligence-based systems, are rebuilding our society (economy, education, life-style, etc.) and promising a new era ... -
Assessment, Design and Implementation of a Private Cloud for MapReduce Applications
(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 ... -
Automated description of the mandible shape by deep learning
(Springer, 2021)Purpose: The shape of the mandible has been analyzed in a variety of fields, whether to diagnose conditions like osteoporosis or osteomyelitis, in forensics, to estimate biological information such as age, gender, and race ... -
Automated semantic annotation of rare disease cases: a case study
(Oxford Univesity Press, 2014)Motivation: As the number of clinical reports in the peer-reviewed medical literature keeps growing, there is an increasing need for online search tools to find and analyze publications on patients with similar clinical ... -
Automatic detection of pulmonary nodules: Evaluation of performance using two different MDCT scanners
(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
(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 ... -
Autonomous navigation for UAVs managing motion and sensing uncertainty
(Elsevier, 2020)We present a motion planner for the autonomous navigation of UAVs that manages motion and sensing uncertainty at planning time. By doing so, optimal paths in terms of probability of collision, traversal time and uncertainty ... -
Benchmarking of FinFET, Nanosheet, and Nanowire FET Architectures for Future Technology Nodes
(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
(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
(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 ...