Abstract: Apparatuses and methods are provided for classifying textual content using a text classifier for determining to which class the textual content belongs. After classification, the text classifier provides the classification result and a context relevant to the classification result to an explanation system. The explanation system predicts, from the classification result and the context relevant to the classification result, one or more reasons behind the classification result.

Abstract: Systems and method are provided for predicting an expected mechanical property, such as fatigue strength, for a component with a cellular structure or a portion thereof. In some embodiments, a method for predicting fatigue strength includes receiving, by a control circuit, image data for a specimen to reconstruct 3D models of the specimen. The specimen includes at least one cell of a cellular structure. The method further includes determining a local stresses for the specimen via finite element analysis of the three-dimensional models. The control circuit may then determine a fatigue strength for the specimen based on the local stresses to generate a distribution function of the fatigue strength for the at least one cell of the cellular structure. The control circuit then applies statistics of extremes to the distribution function to predict an expected fatigue strength of a number of cells in the cellular structure.

Abstract: A computer-implemented method for the probabilistic assessment of fatigue of component parts in the presence of manufacturing defects comprises the following steps: importing predefined input data concerning at least one part of a component to be assessed; distinguishing a surface region of the part from an internal region; determining the volume and stress/deformation applied to the surface region and to the internal region; assigning the distribution of defects to a group of elements defined by the user; determining the maximum dimension of the defect in each surface or internal region considered; determining the critical dimension of the defect in each surface region or internal region by considering the fatigue strength of the material at the number of cycles under consideration, the stress/deformation applied and the position of each surface or internal region; calculating the reliability of at least one of the surface or internal regions considered.

Abstract: Apparatuses and methods are provided for classifying textual content using a text classifier for determining to which class the textual content belongs. After classification, the text classifier provides the classification result and a context relevant to the classification result to an explanation system. The explanation system predicts, from the classification result and the context relevant to the classification result, one or more reasons behind the classification result.

Abstract: A computer-implemented method for the probabilistic assessment of fatigue of component parts in the presence of manufacturing defects comprises the following steps: importing predefined input data concerning at least one part of a component to be assessed; distinguishing a surface region of the part from an internal region; determining the volume and stress/deformation applied to the surface region and to the internal region; assigning the distribution of defects to a group of elements defined by the user; determining the maximum dimension of the defect in each surface or internal region considered; determining the critical dimension of the defect in each surface region or internal region by considering the fatigue strength of the material at the number of cycles under consideration, the stress/deformation applied and the position of each surface or internal region; calculating the reliability of at least one of the surface or internal regions considered.