MACHINE LEARNING TO MONITOR OPERATIONS OF A DEVICE

MACHINE LEARNING TO MONITOR OPERATIONS OF A DEVICE

A multi-tier machine learning engine receives signal data characterizing a monitored signal of the computing platform. The machine learning engine can include a plurality of tiers that employ frequency domain analysis on the signal data to identify an application executing on the computing platform...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: ANDERSON, PETER D, RUBLE, MACEY C, PITRUZZELLO, ANN M, HAYES, CHARLES ETHAN, WELBORN, MATTHEW LEE
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:A multi-tier machine learning engine receives signal data characterizing a monitored signal of the computing platform. The machine learning engine can include a plurality of tiers that employ frequency domain analysis on the signal data to identify an application executing on the computing platform and a module and/or loop of the identified application and employ time domain analysis on the signal data to identify timing of events within the identified module and/or loop of the identified application.