US Patent Issued to Siemens on July 1 for "Computer-assisted method for generating training data for a neural network for predicting a concentration of pollutants at a measuring station" (German Inventors)

ALEXANDRIA, Va., July 3 -- United States Patent no. 12,345,693, issued on July 1, was assigned to Siemens AG (Munich).

"Computer-assisted method for generating training data for a neural network for predicting a concentration of pollutants at a measuring station" was invented by Florian Ansgar Jaeger (Berlin) and Katrin Muller (Berlin).

According to the abstract* released by the U.S. Patent & Trademark Office: "Various embodiments of the teachings herein include a computer aided method for generating training data for a neural network designed to determine a pollutant concentration at a measurement station from a pollutant emission. The method may include: providing a measurement series of the concentration containing a value above a thre...