Abstract: A method for processing measurement data from a surveillance of an area into classification scores with respect to a given classification and/or properties of objects in the area. The method includes: providing a point cloud of measurement data that assigns, to each of a plurality of points in space, measurement values of at least one quantity; providing an input grid with a plurality of cells; assigning, based on the point cloud, values of the at least one measurement quantity, and/or of at least one work product derived therefrom, to each cell of the input grid; and processing, by a task neural network, the input grid into an output grid whose cells carry classification scores and/or properties of objects as values.

Abstract: A turbo-machine having a plurality of component slots accessible from the outside, wherein a thermal transfer line is supplied to at least one section of a component slot such that, upon escape of leakage gas out of the section of the component slot, the leakage gas thermally interacts with the thermal transfer line, wherein the thermal transfer line has a plurality of temperature sensors at different locations on the thermal transfer line and the temperature sensors are designed to detect temperature values on the thermal transfer line at the different locations.