  A Deep Neural Network is applied to classify physical signatures obtained
from physical sensor measurements of running gasoline and diesel-powered
vehicles and other devices. The classification provides information on the
target identities as to vehicle type and even vehicle model. The physical
measurements include acoustic, acceleration (vibration), geophonic, and
magnetic.
