... typically absent in time series analyses. The targeted output of modal classification mirrors the current effort, with a potential benefit of reduced data dimensionality and hardware requirements by developing a diagnostic which can operate independent of down-axis imaging. Similar to the current study...

... rotating detonation engine machine learning modal classification high-speed imaging neural network combustion and reactive flows experimental techniques experimental/measurement techniques Image analysis plays a critical role in combustion research as it not only provides a means to slow...