Unidade de investigación
Servicio
Salvador
Naya
Publicacións nas que colabora con Salvador Naya (10)
2019
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An artificial-vision- And statistical-learning-based method for studying the biodegradation of type I collagen scaffolds in bone regeneration systems
PeerJ, Vol. 2019, Núm. 7
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Modelización da degradación de biomateriais usados en rexeneración ósea
XIV Congreso Galego de Estatistica e Investigación de Operacions: libro de actas Vigo, 24-26 de outubro de 2019
2018
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An educational environment based on digital image processing to support the learning process of biomaterials degradation in stem cells
Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018
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Correction: 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)
PLoS ONE
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Statistical degradation modelling of poly(D,Llactide- co-glycolide) copolymers for bioscaffold applications
PLoS ONE, Vol. 13, Núm. 10
2016
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Nonparametric method for estimating the distribution of time to failure of engineering materials
Springer Proceedings in Mathematics and Statistics
2015
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Propuesta de un nuevo método semiparamétrico para la estimación del crecimiento de grietas a fatiga en materiales
XXXV Congreso Nacional SEIO: IX Jornadas de Estadística Pública : Universidad Pública de Navarra, Pamplona, del 26 al 29 de mayo de 2015
2014
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An introduction to the estimation of the reliability, availability and maintainability of a submarine using Monte Carlo simulation
Developments in Maritime Transportation and Exploitation of Sea Resources - Proceedings of IMAM 2013, 15th International Congress of the International Maritime Association of the Mediterranean
2013
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An introduction to the estimation of the reliability, availability and maintainability of a submarine using monte carlo simulation
Developments in Maritime Transportation and Exploitation of Sea Resources (CRC Press), pp. 761-768
2006
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Logistic mixture model versus Arrhenius for kinetic study of material degradation by dynamic thermogravimetric analysis
Journal of Chemometrics, Vol. 20, Núm. 3-4, pp. 158-163