Listar LCC - Artículos por título
Mostrando ítems 20-39 de 169
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AI Methods in Algorithmic Composition: A Comprehensive Survey
(AI Access Foundation, 2013)Algorithmic composition is the partial or total automation of the process of music composition by using computers. Since the 1950s, different computational techniques related to Artificial Intelligence have been used for ... -
An automatic and association-based procedure for hierarchical publication subject categorization
(Elsevier, 2023-11-11)Subject categorization of scientific publications, i.e., journals, book series or conference proceedings, has become a main concern in academia, as publication impact and ranking are considered a basic criterion to evaluate ... -
An evaluation of best compromise search in graphs
(Springer, 2013-09)This work evaluates two different approaches for multicriteria graph search problems using compromise preferences. This approach focuses search on a single solution that represents a balanced tradeoff between objectives, ... -
An open source framework based on Kafka-ML for Distributed DNN inference over the Cloud-to-Things continuum
(Elsevier, 2021-06-16)The current dependency of Artificial Intelligence (AI) systems on Cloud computing implies higher transmission latency and bandwidth consumption. Moreover, it challenges the real-time monitoring of physical objects, e.g., ... -
Analysis and recognition of human gait activity based on multimodal sensors
(MDPI, 2023-03-22)Remote health monitoring plays a significant role in research areas related to medicine, neurology, rehabilitation, and robotic systems. These applications include Human Activity Recognition (HAR) using wearable sensors, ... -
Analysis of 3D Scan Measurement Distribution with Application to a Multi-Beam Lidar on a Rotating Platform
(MDPI, 2018)Multi-beam lidar (MBL) rangefinders are becoming increasingly compact, light, and accessible 3D sensors, but they offer limited vertical resolution and field of view. The addition of a degree-of-freedom to build a rotating ... -
Application of data augmentation techniques towards metabolomics
(Elsevier, 2022-07-27)Niemann–Pick Class 1 (NPC1) disease is a rare and debilitating neurodegenerative lysosomal storage disease (LSD). Metabolomics datasets of NPC1 patients available to perform this type of analysis are often limited in the ... -
Are learning styles useful? A new software to analyze correlations with grades and a case study in engineering
(Wiley, 2023)Knowing student learning styles represents an effective way to design the most suitable methodology for our students so that performance can improve with less effort for both students and teachers. However, a methodology ... -
Autocorrelation Measures for the Quadratic Assignment Problem
In this article we provide an exact expression for computing the autocorrelation coefficient $\xi$ and the autocorrelation length $\ell$ of any arbitrary instance of the Quadratic Assignment Problem (QAP) in polynomial ... -
Automate d lab eling of training data for improved object detection in traffic videos by fine-tuned deep convolutional neural networks
(Elsevier, 2023)The exponential increase in the use of technology in road management systems has led to real-time vi- sual information in thousands of locations on road networks. A previous step in preventing or detecting accidents involves ... -
Automated detection of vehicles with anomalous trajectories in traffic surveillance videos.
(IOS Press, 2023-05-10)Video feeds from traffic cameras can be useful for many purposes, the most critical of which are related to monitoring road safety. Vehicle trajectory is a key element in dangerous behavior and traffic accidents. In this ... -
Automatic frequency-based feature selection using discrete weighted evolution strategy
(Elsevier, 2022-10-10)High dimensional datasets usually suffer from curse of dimensionality which may increase the classification time and decrease the classification accuracy beyond a certain dimensionality. Thus, feature selection is used to ... -
Automatic identification of characteristic points related to pathologies in electrocardiograms to design expert systems
(Springer-Verlag, 2019)Electrocardiograms (ECG) record the electrical activity of the heart through 12 main signals called shunts. Medical experts examine certain segments of these signals in where they believe the cardiovascular disease is ... -
Automating the search of molecular motor templates by evolutionary methods
(Elsevier, 2011)Biological molecular motors are nanoscale devices capable of transforming chemical energy into mechanical work, which are being researched in many scientific disciplines. From a computational point of view, the characteristics ... -
BH-ShaDe: a software tool that assists architecture students in the ill-structured task of housing design
(IEEE Transactions on Learning Technologies, 2016)In this paper, we present BH-ShaDe, a new software tool to assist architecture students learning the ill-structured domain/task of housing design. The software tool provides students with automatic or interactively generated ... -
Big Data Optimization: Framework Algorítmico para el análisis de Datos guiado por Semántica
(2018-11-05)En las últimas décadas el aumento de fuentes de información en diferentes campos de la sociedad desde la salud hasta las redes sociales, ha puesto de manifiesto la necesidad de nuevas técnicas para su análisis, lo que se ... -
BIGOWL4DQ: ontology-driven approach for Big Data quality meta-modelling, selection and reasoning
(Elsevier, 2023-11-27)Context: Data quality should be at the core of many Artificial Intelligence initiatives from the very first moment in which data is required for a successful analysis. Measurement and evaluation of the level of quality ... -
BIN-CT: Urban waste collection based on predicting the container fill level.
(2019-04-17)The fast demographic growth, together with the population concentration in cities and the increasing amount of daily waste, are factors that are pushing to the limit the ability of waste assimilation by Nature. Therefore, ...