Abstract: A method for providing wafer test data of at least one wafer with semiconductor chips, in particular for providing a training data set for a machine learning algorithm for anomaly detection, comprising receiving a set of measured variables from the semiconductor chips of the wafer, defining sub-areas on the wafer, each of which comprises a plurality of semiconductor chips of the wafer for which measured variables have been received, and outputting a reduced set of measured variables compared to the received set of measured variables, which comprises only the measured variables of subsets of the semiconductor chips of the respective sub-areas.

Abstract: A method for resistance welding includes performing a plurality of resistance welding processes during which welding electrodes are pressed against respective welding spots of respective workpieces. The welding electrodes are energized with a respective welding current for each of the plurality of resistance welding processes, and for each of the plurality of resistance welding processes, a respective at least one characteristic value that characterizes a quality of the welding is determined. A statistical analysis of the determined at least one characteristic value for each of the plurality of resistance welding processes is performed, and based upon the analysis, an adaptation of the prescribed welding parameters is determined.

Abstract: A computer-implemented method for optimizing a detection threshold of a prediction model used to determine an anomaly of a component is disclosed. The detection threshold indicates the criterion above which the prediction model classifies a component as anomalous.

Abstract: A method for determining an assignment rule in order to merge gene expression profiles which are very similar is disclosed. The method includes (i) adjusting a model, e.g. a linear regression model, using the model to predict the gene expression profiles, (ii) calculating a cost matrix from the predictions, and (iii) applying the Hungarian algorithm to the cost matrix to obtain a new assignment rule and repeating these steps several times.

Abstract: A method for resistance welding includes performing a plurality of resistance welding processes during which welding electrodes are pressed against respective welding spots of respective workpieces. The welding electrodes are energized with a respective welding current for each of the plurality of resistance welding processes, and for each of the plurality of resistance welding processes, a respective at least one characteristic value that characterizes a quality of the welding is determined. A statistical analysis of the determined at least one characteristic value for each of the plurality of resistance welding processes is performed, and based upon the analysis, an adaptation of the prescribed welding parameters is determined.