J.A. Vilán

FTIR quantitative analysis technique for gases. Application in a biomass thermochemical process

Enrique Granada, Pablo Eguía, J.A. Vilán et al. · Renewable Energy · 2011 · 66 citations

Natural Sciences, Chemical Engineering, Chemistry +14

Automatic 3D modelling of metal frame connections from LiDAR data for structural engineering purposes

Manuel Cabaleiro, B. Riveiro, Pedro Arias et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 2014 · 62 citations

Engineering, Mechanical Engineering, 3D Modeling +16

The use of design of experiments to improve a neural network model in order to predict the thickness of the chromium layer in a hard chromium plating process

Fernando Sánchez Lasheras, J.A. Vilán, P.J. Garcı́a Nieto et al. · Mathematical and Computer Modelling · 2010 · 61 citations · Full text

Engineering, Materials Engineering, Materials Science +13

A new predictive model based on the PSO-optimized support vector machine approach for predicting the milling tool wear from milling runs experimental data

P.J. Garcı́a Nieto, Esperanza García–Gonzalo, J.A. Vilán et al. · The International Journal of Advanced Manufacturing Technology · 2015 · 46 citations · Full text

Computing, Manufacturing Engineering, Mechanical Engineering +13

A genetic algorithm for the characterization of hyperelastic materials

José R. Fernández, José A. López-Campos, Abraham Segade et al. · Applied Mathematics and Computation · 2018 · 43 citations

Natural Sciences, Materials Engineering, Materials Science +14