Abstract: Device configurations for a machine-learned model. A device analytics system includes an electronic processor configured to determine, for a machine-learned model configured to detect a plurality of features, a prioritization ranking for a plurality of input parameters provided to the machine-learned model and receive, for each device, a confidence value for each feature included in the plurality of features. The electronic processor is configured to determine, for each device included in the plurality of devices, a performance value for each feature included in the plurality of features based on the prioritization ranking for the plurality of input parameters and the confidence value for each feature for the respective device. The electronic processor is configured to select, based on the performance value for each device included in the plurality of devices for a feature, a device configuration for the machine-learned model, and implement the selected device configuration.

Abstract: Device configurations for a machine-learned model. A device analytics system includes an electronic processor configured to determine, for a machine-learned model configured to detect a plurality of features, a prioritization ranking for a plurality of input parameters provided to the machine-learned model and receive, for each device, a confidence value for each feature included in the plurality of features. The electronic processor is configured to determine, for each device included in the plurality of devices, a performance value for each feature included in the plurality of features based on the prioritization ranking for the plurality of input parameters and the confidence value for each feature for the respective device. The electronic processor is configured to select, based on the performance value for each device included in the plurality of devices for a feature, a device configuration for the machine-learned model, and implement the selected device configuration.

Abstract: The invention relates to a security document (100) with a securing element (101) placed locally or on the entire surface of a laminated or non-laminated substrate, comprising at least a marking region composed of at least one printing ink layer containing optically variable interference pigments and fluorescent pigments and/or dyes or a printing ink layer containing optically variable interference pigments and being free of additives changing the absorption spectrum of the printing ink layer, the marking region comprising a laser marking applied by laser radiation, that is visually recognizable basing on an irreversible change of interference properties of the printing ink layer containing optically variable interference pigments and fluorescent pigments and/or dyes or printing ink layer containing optically variable interference pigments, and on a transformation, within the laser marking, of an original color demonstrating a change dependent on the observation angle into another color demonstrating no change

Abstract: The method of construction of a wall heating panel and a wall heating panel consists in constructing an aluminium multi-channel collector, preferably with one phase transition channel, connecting it inseparably with vertical aluminium heating elements, arranging the heating elements in the grooves of a dry wall construction board, preferably magnesium, and filling the space between the grooves and the heating elements with elastic compound, and then applying paper—aluminium foil laminate onto the whole surface of the board.

Abstract: Disclosed herein are methods and systems for distance-based selection of a gateway mobile radio. In an embodiment, a candidate mobile radio receives a gateway query associated with a requesting mobile radio, and obtains a distance between the candidate mobile radio and the requesting mobile radio. The candidate mobile radio selects a transmission time based at least in part on the obtained distance, and transmits a gateway advertisement at the selected transmission time.