ALEXANDRIA, Va., Sept. 17 -- United States Patent no. 12,417,410, issued on Sept. 16, was assigned to THE BANK OF NEW YORK MELLON (New York).
"Systems and methods for generating optimal data predictions in real-time for time series data signals" was invented by Ibrahim F. Ghalyan (New York).
According to the abstract* released by the U.S. Patent & Trademark Office: "Methods and systems are disclosed for generating optimal data predictions in time series data signals based on empirically-optimized model selection, noise filtering, and window size selection using machine learning models. For example, the system may receive a first subset of time series data. The system may receive a prediction horizon. The system may generate a feature inpu...