The artificial neurons (for example, hidden units grouped under nodes with values s t at time t) get inputs from other neurons at previous time steps (this is represented with the black square, representing a delay of one time step, on the left).
Inside the cube, this was represented with the increasingly frenetic, discordant sounds of a live string quartet, set to early film clips projected onto all four walls.
This case is represented with the more general Equation (7).
The phase behavior of the multicomponent systems of interest for this process is represented with the Peng Robinson Equation of State.
The panel is represented with the nonlinear finite element model.
Interior boundaries are represented with the embedded boundary formalism.
This is represented with high order Taylor maps which can be potentially used for the implementation of innovative algorithms for risk assessment, avoiding the main assumptions of current approaches.
The uncertainty of this measurement is represented with an ellipse.
The vulnerability component in this metric is represented with Thread Vulnerability Factor (TVF), a recently proposed metric for quantifying thread vulnerability for multicores.
The cells from this step are represented with "1" in Figure 1 and throughout other figures.
