Abstract: The present disclosure presents systems and methods for analyzing a user's cognitive abilities related to decision-making in fast-paced scenarios. One such method comprises inputting, by the computing device, the one or more matrix metrics into a predictive model of a learning potential for the user; executing, by the computing device, the predictive model of the learning potential of the user; predicting, by the computing device using the predictive model, the learning potential of the user; and outputting, by the computing device, the predicted learning potential of the user.

Abstract: Disclosed are various embodiments for implementing predictive change in acuity. A computing environment may be employed to store behavioral data received from a plurality of monitoring devices associated with individuals. The computing environment may generate training data using the behavioral data, train a predictive algorithm using the training data, and execute at least one predictive data model as trained using subsequent behavioral data as received from the plurality of monitoring devices to predict at least one of a change in behavior of one of the individuals; an incident associated with the one of the individuals; and a change in biometric statistics of the one of the individuals.

Abstract: Approaches to three-dimensional (3D) data reconstruction are presented. The 3D data comprises 2D images. In some embodiments, the 2D images are directionally interpolated to generate directionally-interpolated 3D data. The directionally-interpolated 3D data are then segmented to generate segmented directionally-interpolated 3D data. The segmented directionally-interpolated 3D data is then meshed. In other embodiments, a 3D data set, which includes 2D flow images, is accessed. The accessed 2D flow images are then directionally interpolated to generate 2D intermediate flow images.

Abstract: Approaches to three-dimensional (3D) data reconstruction are presented. The 3D data comprises 2D images. In some embodiments, the 2D images are directionally interpolated to generate directionally-interpolated 3D data. The directionally-interpolated 3D data are then segmented to generate segmented directionally-interpolated 3D data. The segmented directionally-interpolated 3D data is then meshed. In other embodiments, a 3D data set, which includes 2D flow images, is accessed. The accessed 2D flow images are then directionally interpolated to generate 2D intermediate flow images.