Abstract: Systems and methods are provided for determining an occlusion class indicator corresponding to an occlusion image. This can include acquiring the occlusion image of an occlusion of a human subject by an image capture device, applying one or more computer-implemented occlusion classification neural networks to the occlusion image to determine the class indicator of the occlusion of the human subject. The occlusion classification neural networks are trained for classification using an occlusion training dataset including a plurality of occlusion training examples being pre-classified into one three occlusion classes, each class being attributed a numerical value. The occlusion class indicator determined by the occlusion classification neural network includes a numeric value within a continuous range of values that can be bounded by the values corresponding to the second and third occlusion classes.

Abstract: A distribution method for a gas turbine engine distributes fuel based on a calculated ratio of air flow burnt to total air flow through all combustion zones in the gas turbine engine. This ratio is used to achieve a predetermined flame temperature in the gas turbine engine.

Abstract: A distribution method for a gas turbine engine distributes fuel based on a calculated ratio of air flow burnt to total air flow through all combustion zones in the gas turbine engine. This ratio is used to achieve a predetermined flame temperature in the gas turbine engine.