The proposed framework was applied in MATLAB 2013a. Five aspects pupil/iris ratio, MRL, RAP, and two sclera contour features: area and height were extracted, and then, matlab neural community classifier was utilized to train and test matlab programming images. The proposed framework produced facts of matlab programming courting among matlab programming five extracted elements and IOP, which has not been formerly investigated through computerized image processing and machine studying concepts on frontal eye images. This research was built on top of our preliminary data present in to help clinicians and patients for early screening of IOP risk. The scaled neural network computations and category outcomes offered from our framework correlate with IOP levels and matlab programming ground truth of eye images with an accuracy of 96%. In other words, matlab contact community is similar to career insurance since they come with those that will always acts as mentors, referees, and recruiters. The consequences of an experimental research software to assess matlab programming capabilities of recovering compressor stall margin by matlab programming application of hub cure are offered. Extensive tuft probing showed that matlab programming two stage, 0. 5 radius ratio compressor specific for matlab programming test was indeed hub crucial. Circumferential groove and baffled wide blade angle slot hub remedies under matlab programming stators were tested. Performance measurements were made with total and static force probes, wall static pressure taps, flow angle measuring instrumentation and hot film anemometers. Stator hub cure was not found to be effective in getting better compressor stall margin by delaying matlab programming point of onset of rotating stall or in enhancing compressor performance for any of matlab programming configurations tested.