Abstract: A rail vehicle for transporting passengers includes at least one car body, a passenger compartment situated in the car body, an underfloor region, an inner ceiling region, and a plurality of device containers for receiving vehicle components. The passenger compartment includes a first end wall region and a second end wall region which is situated opposite the first end wall region. In order to enable a great configuration freedom for the passenger compartment, it is provided that each device container of the rail vehicle is disposed in one of the above-mentioned regions.

Abstract: There is provided a method that includes (a) scanning a repository to identify an artifact that is available in the repository, (b) producing a declaration that indicates that the artifact is to be installed on a target device, (c) querying the target device to obtain information about a present state of the artifact on the target device, thus yielding state information, (d) determining, from a comparison of the state information to the declaration, that the artifact on the target device is not up to date, and (e) deploying the artifact from the repository, and a serving program, to the target device. There is also provided a system that performs the method, and a storage device that contains instructions for a processor to perform the method.

Abstract: In a computer-implemented method, a machine-learning model is pre-trained in an unsupervised manner to predict time-related information based on data obtained from a contrast-enhanced medical imaging measurement. This pre-trained machine-learning model is then used to build another machine-learning model to predict semantic context information for images determined from the contrast-enhanced medical imaging measurement.

Abstract: Various examples of the disclosure pertain to determining a label set for an anatomical structure such as a complex blood vessel, e.g., the coronary artery. The determining of the label set takes into account multiple inputs, such as the rule set of anatomical relationship between sub structures of the anatomical structure and a list of candidate labels and associated probabilities obtained for each one of the anatomical substructures.

Abstract: Various disclosed examples pertain to digital pathology, more specifically to training of a segmentation algorithm for segmenting whole-slide images depicting tissue of multiple types. An initial annotation of a whole-slide image is refined to yield a refined annotation based on which parameters of the segmentation algorithm can be set. Techniques of patch-wise weak supervision can be employed for such refinement.

Abstract: A method for analyzing a laser machining process for machining workpieces includes the steps of acquiring at least one sensor data set for the laser machining process and determining a value of at least one physical property of a machining result of the laser machining process based on the at least one sensor data set using a transfer function. The transfer function is formed by a trained neural network. A system for analyzing a laser machining process and a laser machining system including such a system are also disclosed.

Abstract: A method and a system for monitoring a laser machining process includes the steps of: inputting at least one process signal data set of the laser machining process into an autoencoder formed by a deep neural network; generating a reconstructed process signal data set by means of the autoencoder; determining a reconstruction error based on the at least one process signal data set and the at least one reconstructed process signal data set; and detecting an anomaly of the laser machining process based on the determined reconstruction error. A laser machining method includes the method and a laser machining system includes the system.

Abstract: One or more example embodiments provides a system and a method for differentiating a tissue of interest from another part of a medical scanner image, in particular pectoral muscle tissue from breast tissue in an X-ray mammography image. The method comprises providing a medical scanner image; inputting input data into a trained artificial neural network, the input data being based on the provided medical scanner image; generating, by the trained artificial neural network, output data based on the input data, the output data indicating a one-dimensional borderline between at least a part of the tissue of interest and the at least one other part of the medical scanner image; and outputting an output signal comprising or based on the generated output data.

Abstract: A functional component and having a partial plastic housing element with a plastic housing wall, the plastic housing wall having a device identification region integrated into the plastic housing wall and thus realizing a constituent part of the plastic housing wall. The device identification region comprising identification elements integrated into the plastic housing wall, those identification elements that realize part of a surface of the plastic housing wall realizing device identification elements, the device identification region being realized individually for the device by the device identification elements, such that the device can be unambiguously identified by means of the device identification region.

Abstract: Various example embodiments pertain to processing images that depict tissue samples using a neural network algorithm. The neural network algorithm includes multiple encoder branches that are copies of each other that share the same parameters. The encoder branches can, accordingly, be referred to as Siamese copies of each other.

Abstract: A computer-implemented method includes receiving first medical image data, wherein the first medical image data is based on a first medical imaging of an examination object, receiving second medical image data, wherein the second medical image data is based on a second medical imaging of the examination object, wherein the first and the second medical imaging differ by at least one of an imaging modality or by an imaging protocol used, wherein the first and the second medical image data are registered with one another, determining synthetic image data by applying a trainable function to the first medical image data, determining a measure of similarity with a similarity function by comparison of the synthetic image data and the second medical image data, adjusting at least one parameter of the trainable function by optimization of the similarity function based on the measure of similarity, provision of the trainable function.

Abstract: A cladding arrangement includes at least one first cladding part for a vehicle, in particular a rail vehicle, which is connectable via at least one connecting device to a running gear of the vehicle, a running gear component, a car body of the vehicle or a car body component, wherein at least one first heating device, which is directed into a hollow formed by at least the first cladding part, is connected to the at least first cladding part to provide advantageous structural conditions such that ice deposits on the vehicle may be effectively thawed.

Abstract: A rail vehicle for transporting passengers includes at least one car body, a passenger compartment situated in the car body, an underfloor region, an inner ceiling region, and a plurality of device containers for receiving vehicle components. The passenger compartment includes a first end wall region and a second end wall region which is situated opposite the first end wall region. In order to enable a great configuration freedom for the passenger compartment, it is provided that each device container of the rail vehicle is disposed in one of the above-mentioned regions.

Abstract: A rail vehicle has a bogie, which is covered in such a way that a bogie cavity exists, which is formed in the under floor region of the rail vehicle by a cover assembly and walls adjacent to the bogie. A device for producing pressurized air is connected, with respect to flow, to an air inlet device in the walls of the bogie cavity in such a way that the air can be blown into the bogie cavity.

Abstract: A system and a method are provided for a parameter update. In an embodiment, the method includes obtaining, by a first entity, a function and parameter data from a second entity; selecting data samples provided by the first entities; providing a plurality of mutually isolated computing instances; assigning and providing the selected data samples to the computing instances; calculating, within each computing instance, results of the function; calculating averages over the results; determining whether the function fulfils a security criterion, and, if so: providing the calculated average for the gradient of the loss function and/or the calculated average of the output value and/or updated parameter data to the second entity.

Abstract: A method and a system are for performing at least one inference task on medical input data. In an embodiment, the system includes: a computing device configured to implement an artificial neural network, ANN. The ANN is configured to receive medical input data as an input and to perform at least one inference task based on the medical input data. The ANN includes an output layer with, for at least one inference task of the at least one inference task, a plurality of output nodes. Each output node corresponds to one quantile out of a plurality of defined quantiles.

Abstract: A power semiconductor module has a first and second intermediate circuit rail, an AC potential rail and with a packaged first and second power semiconductor switch. The respective power semiconductor switch has a first and second load current terminal and a control terminal, wherein the first power semiconductor switch is between the first intermediate circuit rail and the AC potential rail and the second power semiconductor switch is between the second intermediate circuit rail and the AC potential rail. The first load terminal of the first power semiconductor switch is contacted to the first intermediate circuit rail and the second load terminal of the first power semiconductor switch is electrically conductively contacted to the AC potential rail.

Abstract: A cladding arrangement includes at least one first cladding part for a vehicle, in particular a rail vehicle, which is connectable via at least one connecting device to a running gear of the vehicle, a running gear component, a car body of the vehicle or a car body component, wherein at least one first heating device, which is directed into a hollow formed by at least the first cladding part, is connected to the at least first cladding part to provide advantageous structural conditions such that ice deposits on the vehicle may be effectively thawed.

Abstract: A meta-learning system includes an inner function computation module, adapted to compute output data from applied input data according to an inner model function, depending on model parameters; an error computation module, adapted to compute errors indicating mismatches between the computed output data and target values; a state update module, adapted to update the model parameters of the inner model function according to an updated state, updated based on a current state of the state update module, in response to an error received from the error computation module. The state update module is learned to adjust the model parameters of the inner model function, such that a following training of the inner model function with training data is improved.

Abstract: An assembly having an intake connector with an air entrance for an air-conditioning system and a filter element having a concertina bellows having peripheral troughs and peripheral peaks, wherein the filter element has a water-repellent filter medium and wherein the filter element at least partially covers the air entrance, suitable for discharging snow and water, in particular snowmelt, to avoid flow into the air-conditioning system of a motor vehicle and to minimize damage to a filter element, wherein the concertina bellows is disposed so as to be inclined at an angle of 5° to 90°, preferably at an angle of 15° to 85°, in relation to the horizontal, wherein the filter element has an outflow unit for a water outflow from the peripheral troughs.