AFRL-RY -HS-TR-20 10-0028 Cognitively Inspired Neural Network for Situation Recognition

AFRL - RY - HS - TR - 2010 - 0016 New Shape Parameters for the Laminar , Transitional , and Turbulent Velocity Profiles

AFRL - RY - HS - TR - 2010 - 0014 The Mathematics of Flow Similarity of the Velocity Boundary Layer

Cognitively Inspired Neural Network for Recognition of Situations

The authors present a cognitively inspired mathematical learning framework called Neural Modeling Fields (NMF). They apply it to learning and recognition of situations composed of objects. NMF successfully overcomes the combinatorial complexity of associating subsets of objects with situations and demonstrates fast and reliable convergence. The implications of the current results for building m...

Afrl-ry-wp-tr-2012-0393 Framework for Efficient Algorithms in Planar Networks and Beyond

Afrl-ry-wp-tr-2013-0174 Radiation Characteristics of Antennas Embedded in a Layer with Two-temperature Electron Population