E.SUPER.Y TÉCNICA DE INGENIEROS DE MINAS
Institut de recherche
Universidad de Sevilla
Sevilla, EspañaPublications en collaboration avec des chercheurs de Universidad de Sevilla (11)
2023
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Boundary element analysis of three-dimensional thermomechanical orthotropic frictional contact problems
AIP Conference Proceedings
2022
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3D thermoelastic solids under non-linear interface thermal and orthotropic frictional contact conditions
International Journal for Numerical Methods in Engineering, Vol. 123, Núm. 11, pp. 2631-2659
2020
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A boundary element procedure to analyze the thermomechanical contact problem in 3D microelectronic packaging
Engineering Analysis with Boundary Elements, Vol. 115, pp. 28-39
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Non-linear interface thermal conditions in three-dimensional thermoelastic contact problems
Computers and Structures, Vol. 241
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Thermoelastic influence of convective and conduction interstitial conditions on the size of the contact zone in three-dimensional receding thermoelastic contact problem
Acta Mechanica, Vol. 231, Núm. 7, pp. 3065-3084
2019
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The effect of conduction and convective conditions at interstitial regions on 3D thermoelastic contact problems
Engineering Analysis with Boundary Elements, Vol. 107, pp. 243-256
2017
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Impact of plot size and model selection on forest biomass estimation using airborne LiDAR: A case study of pine plantations in southern Spain
Journal of Forest Science, Vol. 63, Núm. 2, pp. 88-97
2016
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A preliminary study of the suitability of deep learning to improve LiDAR-derived biomass estimation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Comparison of ALS based models for estimating aboveground biomass in three types of Mediterranean forest
European Journal of Remote Sensing, Vol. 49, pp. 185-204
2014
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Evolutionary feature selection to estimate forest stand variables using LiDAR
International Journal of Applied Earth Observation and Geoinformation, Vol. 26, Núm. 1, pp. 119-131
2011
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A comparative study between two regression methods on LiDAR data: A case study
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)