Abstract: A method of generating cyber chaff can include determining a cell of a grid of cells to which a first feature and a second feature of user data maps, identifying a cell type of the cell, the cell type indicating whether the cell is an active cell, an inactive cell, or a sub-process cell, and providing cyber chaff based on cyber chaff data associated with either (a) one or more cells of the inactive cell type or (b) one or more cells of the sub-process cell type.

Abstract: A method can include determining a cell of a grid to which a first feature and a second feature of each of a plurality of input/output examples maps, determining an average of respective features of the cell to generate respective level 2 synthetic feature vectors, for each cell with an input/output example of the input/output examples mapped thereto, generating a sub-grid of cells and map the input/output examples mapped to a cell of the sub-grid, determining an average of respective features to generate respective level 1 synthetic feature vectors comprising the average of the respective features, training the ML technique using the level 2 synthetic feature vector, testing the trained ML technique using the level 1 synthetic feature vector of each sub-cell, and further testing the trained ML technique using the input/output examples to generate a class and confidence for each of the input/output examples.

Abstract: Techniques, apparatus and systems for muon tomography vehicle imaging use autonomous processing of 3-dimensional muon tomography vehicle images based on Data Modeling techniques and various applications including analyzing vehicle voxel data such as muon vehicle images to detect potential threat objects and then to further discriminate the identified potential threat objects by shape.

Abstract: Techniques, apparatus and systems for muon tomography vehicle imaging use autonomous processing of 3-dimensional muon tomography vehicle images based on Data Modeling techniques and various applications including analyzing vehicle voxel data such as muon vehicle images to detect potential threat objects and then to further discriminate the identified potential threat objects by shape.

Abstract: A system for generating deciphering symbols or roots and particularly to systems employing fractal metric characterizations, which in turn are based upon fractal dimensions of less than the whole of the data to be characterized.