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Palabras clave – provistas por la editorial

sheet metal forming; uncertainty analysis; metamodeling; machine learning; hot rolling strip; edge defects; intelligent recognition; convolutional neural networks; deep-drawing; kriging metamodeling; multi-objective optimization; FE (Finite Element) AutoForm robust analysis; defect prediction; mechanical properties prediction; high-dimensional data; feature selection; maximum information coefficient; complex network clustering; ring rolling; process energy estimation; metal forming; thermo-mechanical FEM analysis; artificial neural network; aluminum alloy; mechanical property; UTS; topological optimization; artificial neural networks (ANN); machine learning (ML); press-brake bending; air-bending; three-point bending test; sheet metal; buckling instability; oil canning; artificial intelligence; convolution neural network; hot rolled strip steel; defect classification; generative adversarial network; attention mechanism; deep learning; mechanical constitutive model; finite element analysis; plasticity; parameter identification; full-field measurements; n/a