Publicaciones en colaboración con investigadores/as de Universidad de Oviedo (13)

2020

  1. The CARMENES search for exoplanets around M dwarfs: A deep learning approach to determine fundamental parameters of target stars

    Astronomy and Astrophysics, Vol. 642

2018

  1. Estimates of the atmospheric parameters of M-type stars: A machine-learning perspective

    Monthly Notices of the Royal Astronomical Society, Vol. 476, Núm. 1, pp. 1120-1139

2017

  1. Evaluation of data compression techniques for the inference of stellar atmospheric parameters from high-resolution spectra

    Monthly Notices of the Royal Astronomical Society, Vol. 465, Núm. 4, pp. 4556-4571

2013

  1. Advanced predictive quality control strategy involving different facilities

    International Journal of Advanced Manufacturing Technology, Vol. 67, Núm. 5-8, pp. 1245-1256

  2. Improved variability classification of CoRoT targets with Giraffe spectra

    Astronomy and astrophysics, Vol. 550

2012

  1. A simulation method to estimate closing forces in car-sealing rubber elements

    International Journal of Vehicle Design, Vol. 59, Núm. 4, pp. 249-271

2008

  1. Finite element analysis of the hyper-elastic contact problem in automotive door sealing

    Journal of Non-Crystalline Solids, Vol. 354, Núm. 47-51, pp. 5331-5333

  2. Finite volume modeling of the non-isothermal flow of a non-Newtonian fluid in a rubber's extrusion die

    Journal of Non-Crystalline Solids, Vol. 354, Núm. 47-51, pp. 5334-5336

2007

  1. Computer simulation of the laminar nozzle flow of a non-Newtonian fluid in a rubber extrusion process by the finite volume method and experimental comparison

    Journal of Non-Crystalline Solids, Vol. 353, Núm. 8-10, pp. 981-983

2003

  1. Intelligent methods helping the design of a manufacturing system for die extrusion rubbers

    C I M Magazine-(Computer Integrated Manufacturing), Vol. 16, Núm. 3, pp. 173-180

2000

  1. Analysis of Heat Transference in the Regenerative Exchanger of a Thermal Power Plant.

    Neural computing & applications Print, Vol. 9, Núm. 3, pp. 218-226

  2. Importance of parameter selection in classiffication systems using neural networks

    Computer Aided Chemical Engineering, Vol. 8, Núm. C, pp. 139-144

1997

  1. Parameter optimization of influence functions mining subsidence

    International Journal of Rock Mechanics and Minings Sciences, Vol. 34, Núm. 7, pp. 1125-1131