Abstract: A computer-implemented method of generating electronic documents is described. The method comprises receiving a plurality of scanned documents for a plurality of vehicles; providing the plurality of scanned documents to a neural network model that outputs respective class identifiers of the plurality of scanned documents; for each scanned document of the plurality of scanned documents, extracting data from the scanned document according to a corresponding class identifier, and associating the scanned document and the extracted data with an identified vehicle of the plurality of vehicles, wherein the identified vehicle is identified by the extracted data; and generating an electronic document for the identified vehicle using the extracted data.

Abstract: A computer-implemented method of generating electronic documents is described. The method comprises receiving a plurality of scanned documents for a plurality of vehicles; providing the plurality of scanned documents to a neural network model that outputs respective class identifiers of the plurality of scanned documents; for each scanned document of the plurality of scanned documents, extracting data from the scanned document according to a corresponding class identifier, and associating the scanned document and the extracted data with an identified vehicle of the plurality of vehicles, wherein the identified vehicle is identified by the extracted data; and generating an electronic document for the identified vehicle using the extracted data.

Abstract: A computer-implemented method of generating electronic documents is described. The method comprises receiving a plurality of scanned documents for a plurality of vehicles; providing the plurality of scanned documents to a neural network model that outputs respective class identifiers of the plurality of scanned documents; for each scanned document of the plurality of scanned documents, extracting data from the scanned document according to a corresponding class identifier, and associating the scanned document and the extracted data with an identified vehicle of the plurality of vehicles, wherein the identified vehicle is identified by the extracted data; and generating an electronic document for the identified vehicle using the extracted data.

Abstract: A ultrasonic transducer assembly of an ultrasonic surgical instrument includes a horn, a piezoelectric stack positioned proximally of the horn, a proximal end mass positioned proximally of the piezoelectric stack, and a rod extending through the piezoelectric stack. The rod includes a proximal end portion directly secured to the proximal end mass and a distal end portion directly secured to the horn to thereby maintain the piezoelectric stack in compression against the horn.

Abstract: An embodiment of the invention is directed toward identifying a number of advocates. A social-connection map for users of a wireless communications network is determined. A number of heavy users is determined based on the number of connections in a social-connection map. Advocate criteria are evaluated and used to identify a number of advocates.