Alberto García‐Iruela

Prediction of MOR and MOE of structural plywood board using an artificial neural network and comparison with a multivariate regression model

Francisco García Fernández, Paloma de Palacios, Luis García Esteban et al. · Composites Part B Engineering · 2011 · 58 citations

Computing, Computational Engineering, Materials Engineering +10

Sorption and thermodynamic properties of Terminalia superba Engl. & Diels and Triplochiton scleroxylon K. Schum. through the 15, 35 and 50 °C sorption isotherms

Francisco García Fernández, Luis García Esteban, Paloma de Palacios et al. · European Journal of Wood and Wood Products · 2013 · 31 citations

Natural Sciences, Chemistry, Materials Science +11

Thermodynamic properties of the water sorption isotherms of wood of limba (Terminalia superba Engl. & Diels), obeche (Triplochiton scleroxylon K. Schum.), radiata pine (Pinus radiata D. Don) and chestnut (Castanea sativa Mill.)

Cristina Simón, Luis García Esteban, Paloma de Palacios et al. · Industrial Crops and Products · 2016 · 24 citations · Full text

Life Sciences, Plant Biology, Plant Sciences +10

Hardwoods: Anatomy and Functionality of Their Elements—A Short Review

Luis García Esteban, Paloma de Palacios, Peter Gasson et al. · Forests · 2024 · 24 citations · Full text

Life Sciences, Anatomy, Physiology +16

Application of artificial neural networks as a predictive method to differentiate the wood of Pinus sylvestris L. and Pinus nigra Arn subsp. salzmannii (Dunal) Franco

Luis García Esteban, Paloma de Palacios, María Conde et al. · Wood Science and Technology · 2017 · 22 citations · Full text

Computing, Computer Science, Plant Sciences +14