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Chemometrics and Intelligent Laboratory Systems(2)
Journal of Thermal Analysis and Calorimetry(2)
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DATA 2019 - Proceedings of the 8th International Conference on Data Science, Technology and Applications(1)
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google(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:googlescopusCorrection: Statistical degradation modeling of Poly(D,L-lactide-co-glycolide) copolymers for bioscaffold applications (PLoS One (2018) 13:10 (e0204004) DOI: 10.1371/journal.pone.0204004)
OtherAbstract: The following information is missing from the Funding section: The research of Salvador Naya and JavPalabras claves:Autores:Díaz-Prado S., García Sabán F., Naya S., Quintana-Pita S., Tarrío-Saavedra J., Yaroslava Robles-BykbaevFuentes:scopusCase 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 method for estimating shift factors in time-temperature superposition models
Conference ObjectAbstract: Pbkp_rediction of polymer properties at short and long observation times is usually performed througPalabras claves:Arrhenius relation, DMA, Numerical derivation, Shift factor, Time-temperature superposition, WLF equationAutores:Antonio Meneses, Artiaga R., Gracia-Fernández C., López-Beceiro J., Naya S., Tarrío-Saavedra J.Fuentes:scopusNew 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:googlescopusNonparametric method for estimating the distribution of time to failure of engineering materials
Conference ObjectAbstract: The aim of this work is to develop and assess a new method to estimate lifetime distribution in matePalabras claves:Fatigue crack growth, Linear mixed effects, Nonlinear mixed effects, Nonparametric kernel distribution function estimation, Paris-Erdogan model, Statistical learningAutores:Antonio Meneses, López-de-Ullibarri I., Naya S., Tarrío-Saavedra J.Fuentes:scopusILS: 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:googlescopusLocal Correlation Integral Approach for Anomaly Detection Using Functional Data
ArticleAbstract: The present work develops a methodology for the detection of outliers in functional data, taking intPalabras claves:Anomaly detection, FDA, Hilbert space, LOCI, outlier detectionAutores:Jorge R. Sosa Donoso, Miguel Flores, Naya S., Tarrío-Saavedra J.Fuentes:scopus