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Chemometrics and Intelligent Laboratory Systems(2)
DATA 2019 - Proceedings of the 8th International Conference on Data Science, Technology and Applications(1)
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Origen
scopus(9)
An artificial-vision- And statistical-learning-based method for studying the biodegradation of type I collagen scaffolds in bone regeneration systems
ArticleAbstract: This work proposes a method based on image analysis and machine and statistical learning to model anPalabras claves:Biomaterials, Colagen type I, image segmentation, Osteocytes, random forest, Statistical learning, stem cellsAutores:Daniel Calle-López, Díaz-Prado S., Luis Garzon, Naya S., Sanjurjo-Rodríguez C., Tarrío-Saavedra J., Vladimir Robles-Bykbaev, Yaroslava Robles-BykbaevFuentes:googlescopusAn educational environment based on digital image processing to support the learning process of biomaterials degradation in stem cells
Conference ObjectAbstract: The Poly(DL-lactide-co-glycolide) copolymers (PDLGA) have designed and performed as biomaterials, taPalabras claves:Biomaterials degradation, Computer Vision, Decision Support Systems, MOODLEAutores:Blanco F., Daniel Calle-López, Díaz-Prado S., Garzón L., Javier Cornejo-Reyes, Luis Eduardo Garzón Muñoz, Naya S., Sanjurjo C., Tarrío-Saavedra J., Vladimir Robles-Bykbaev, Yaroslava Robles-BykbaevFuentes:googlescopusConstructing a control chart using functional data
ArticleAbstract: This study proposes a control chart based on functional data to detect anomalies and estimate the noPalabras claves:control chart, Data depth, Energy efficiency, functional data analysis, Nonparametric control chart, Statistical process controlAutores:Fernández-Casal R., Miguel Flores, Naya S., Raña P., Tarrío-Saavedra J., Zaragoza S.Fuentes:googlescopusCase study of anomaly detection and quality control of energy efficiency and hygrothermal comfort in buildings
Conference ObjectAbstract: The aim of this work is to propose different statistical and machine learning methodologies for idenPalabras claves:Anomaly detection, Energy efficiency, feature selection, functional data analysis, HVAC, industry 4.0, LOCI, ReliefF, Statistical Quality ControlAutores:Bolón-Canedo V., Eiras-Franco C., Fernández-Casal R., Miguel Flores, Naya S., Tarrío-Saavedra J., Zaragoza S.Fuentes:googlescopusNew robust capability ratios approaches for quality control
ArticleAbstract: Robustness of process capability measurements is a very important matter in statistical quality contPalabras claves:Bootstrap confidence intervals, Bootstrap hypothesis testing, Process capability ratio, Robust statisticsAutores:Devia-Rivera A., Miguel Flores, Naya S., Tarrío-Saavedra J.Fuentes:googlescopusILS: An R package for statistical analysis in Interlaboratory Studies
ArticleAbstract: In this paper we present an R package with routines to perform Interlaboratory Studies (ILS). The aiPalabras claves:Bootstrap, Data depth, functional data analysis, Interlaboratory studies, outlier detection, R SoftwareAutores:Fernández-Casal R., Miguel Flores, Naya S., Roberto Bossano, Tarrío-Saavedra J.Fuentes:googlescopusRobust bootstrapped Mandel's h and k statistics for outlier detection in interlaboratory studies
ArticleAbstract: This study proposes the use of the bootstrap methodology to estimate the distribution of the Mandel'Palabras claves:Bootstrap, ILS, Nonparametric statistics, outlier detectionAutores:Génesis Moreno, Miguel Flores, Naya S., Solórzano, Cristian, Tarrío-Saavedra J.Fuentes:googlescopusStatistical Quality Control with the qcr Package
ArticleAbstract: The R package qcr for Statistical Quality Control (SQC) is introduced and described. It includes a cPalabras claves:Autores:Fernández-Casal R., Miguel Flores, Naya S., Tarrío-Saavedra J.Fuentes:googlescopusStatistical functional approach for interlaboratory studies with thermal data
ArticleAbstract: A new statistical functional data analysis (FDA) approach to perform interlaboratory tests is proposPalabras claves:Data depth, Differential scanning calorimetry, functional data analysis, Interlaboratory study, Laboratory consistency, ThermogravimetryAutores:Artiaga R., Francisco-Fernández M., López-Beceiro J., Miguel Flores, Naya S., Tarrío-Saavedra J.Fuentes:googlescopus