US Patent Issued to Verizon Patent and Licensing on Nov. 3 for "Systems and methods for segmenting and correcting time-series data for machine learning model training" (Massachusetts, Texas, California Inventors)

ALEXANDRIA, Va., Nov. 3 -- United States Patent no. 12,784,402, issued on Nov. 3, was assigned to Verizon Patent and Licensing Inc. (Basking Ridge, N.J.).

"Systems and methods for segmenting and correcting time-series data for machine learning model training" was invented by Timothy E. Coyle (Chicopee, Mass.), Ammara Essa (Los Angeles), Hector Alejandro Garcia Crespo (N Richland Hills, Texas) and Matthew Kapala (North Billerica, Mass.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A device may receive time-series data, may divide the time-series data into sets, and may identify data gaps in each of the sets of time-series data. The device may normalize the data gaps to generate normalized data gaps, may gene...