Listar DIAN-Artículos, capítulos... por título
Mostrando ítems 127-146 de 194
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Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses
(Elsevier, 2021)In this paper we apply data fusion approaches for predicting the final academic performance of university students using multiple-source, multimodal data from blended learning environments. We collect and preprocess data ... -
Multi-view gait recognition on curved
(2017-12-11)Appearance changes due to viewing angle changes cause difficulties for most of the gait recognition methods. In this paper, we propose a new approach for multi-view recognition, which allows to recognize people walking on ... -
Multifractal detrended fluctuation analysis of sheep livestock prices in origin
(Elsevier, 2013)The multifractal detrended fluctuation analysis (MF-DFA) is used to verify whether or not the returns of time series of prices paid to farmers in original markets can be described by the multifractal approach. By way of ... -
Nonlinear Boosting Projections for Ensemble Construction
(Dale Schuurmans, 2007)In this paper we propose a novel approach for ensemble construction based on the use of nonlinear projections to achieve both accuracy and diversity of individual classifiers. The proposed approach combines the philosophy ... -
Object-Based Image Classification of Summer Crops with Machine Learning Methods
(MDPI, 2014)The strategic management of agricultural lands involves crop field monitoring each year. Crop discrimination via remote sensing is a complex task, especially if different crops have a similar spectral response and cropping ... -
On the concept of infinitesimal position vector fields in Galilean spacetimes
(World Scientific, 2022)We introduce two different ways to establish the concept of infinitesimal position vector field between “infinitesimally nearby” observers in a Galilean spacetime as well as show their mathematical equivalence. We also use ... -
On the geometry of stationary Galilean spacetimes
(Springer, 2021)In this work we introduce a new family of non-relativistic spacetimes: standard stationary Galilean spacetimes, which constitute the local geometric model of stationary Galilean spacetimes. We also study the geodesic ... -
Online removal of ocular artefacts from the electroencephalogram
(Institution of Engineering and Technology, 2004)A method by which ocular artefacts (OAs) in the electroencephalogram (EEG) may be removed automatically online by electro-oculogram (EOG) subtraction is demonstrated. This is achieved by a combination of recursively ... -
Optimal Microgrid Topology Design and Siting of Distributed Generation Sources Using a Multi-Objective Substrate Layer Coral Reefs Optimization Algorithm
(MDPI, 2019)In this work, a problem of optimal placement of renewable generation and topology design for a Microgrid (MG) is tackled. The problem consists of determining the MG nodes where renewable energy generators must be optimally ... -
Optimal online time-series segmentation
(Springer, 2024)When time series are processed, the difficulty increases with the size of the series. This fact is aggravated when time series are processed online, since their size increases indefinitely. Therefore, reducing their number ... -
Optimización de ataques a redes complejas mediante un algoritmo de colonias de abejas artificiales
(Universidad de Salamanca, 2016)En los últimos años, ha crecido el interés en formular como un problema de optimización la tarea de concebir ataques efectivos que causen el máximo daño sobre redes complejas. En este caso, los ataques se modelan como ... -
Ordinal and nominal classication of wind speed from synoptic pressure patterns
(2017-01-18)Wind speed reconstruction is a challenging problem in areas (mainly wind farms) where there are not direct wind measures available. Di erent approaches have been applied to this reconstruction, such as measure-correlat ... -
Ordinal regression methods: survey and experimental study
(2017-02-03)Abstract—Ordinal regression problems are those machine learning problems where the objective is to classify patterns using a categorical scale which shows a natural order between the labels. Many real-world applications ... -
Parallel evaluation of Pittsburgh rule-based classifiers on GPUs
(2017-01-19)Individuals from Pittsburgh rule-based classifiers represent a complete solution to the classification problem and each individual is a variable-length set of rules. Therefore, these systems usually demand a high level ... -
Parallelization Strategies for Markerless Human Motion Capture
(2015-10-15)Markerless Motion Capture (MMOCAP) is the problem of determining the pose of a person from images captured by one or several cameras simultaneously without using markers on the subject. Evaluation of the solutions is ... -
Paravertebral Muscle Mechanical Properties and Spinal Range of Motion in Patients with Acute Neck or Low Back Pain: A Case-Control Study
(MDPI, 2021)Our aims were to identify potential differences in muscle mechanical properties (MMPs) of cervical and lumbar tissues and in spinal range of motion (ROM) between patients with acute low back pain (LBP) or acute neck pain ... -
Paravertebral Muscle Mechanical Properties in Patients with Axial Spondyloarthritis or Low Back Pain: A Case-Control Study
(MDPI, 2021)Different musculoskeletal disorders are a source of pain in the spinal region; most of them can be divided into mechanical, such as low back pain (LBP), or inflammatory origins, as is the case of axial spondyloarthritis ... -
PARIS: Partial instance and training set selection. A new scalable approach to multi-label classification
(Elsevier, 2023)Multi-label classification has recently attracted research interest as a data mining task. Many current applications in data mining address problems that have instances belonging to more than one class. This requires the ... -
Procedimiento de Autentificación de Obras de Arte Digital
(Oficina de Transferencia de Resultados de la Investigación, 2013)La presente invención se refiere a un procedimiento que permite autentificar obras de arte, preferentemente de arte digital, es decir, el que se realiza con dispositivos electrónicos de computación, aunque podría aplicarse ... -
Process mining for self-regulated learning assessment in e-learning
(Springer, 2020)Content assessment has broadly improved in e-learning scenarios in recent decades. However, the eLearning process can give rise to a spatial and temporal gap that poses interesting challenges for assessment of not only ...