Modern process and condition monitoring systems produce a huge amount of data which is hard to analyze manually. Previous analyzing techniques disregard time information and concen...
The paper attempted the recognition of multiple drivers’ emotional state from physiological signals. The major challenge of the research is due to the severe inter-driver variat...
—One problem of generating a model to recognize any string is how to generate one that is generalized enough to accept strings with similar patterns and, at the same time, is spe...
We present metric?? , a provably near-optimal algorithm for reinforcement learning in Markov decision processes in which there is a natural metric on the state space that allows t...
Transaction Level Models are widely being used as high-level reference models during embedded systems development. High simulation speed and great modeling flexibility are the ma...