Publicaciones en las que colabora con Salvador Naya (10)

2019

  1. 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

  2. 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

  1. 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

  2. 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

  3. Statistical degradation modelling of poly(D,Llactide- co-glycolide) copolymers for bioscaffold applications

    PLoS ONE, Vol. 13, Núm. 10

2016

  1. Nonparametric method for estimating the distribution of time to failure of engineering materials

    Springer Proceedings in Mathematics and Statistics

2015

  1. 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

  1. 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

  1. 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

  1. 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