Sentence examples for output lies from inspiring English sources

The government's main hope of boosting output lies in the Orinoco heavy-oil belt.

Output lies far below reasonable estimates of potential, meaning trillions of dollars of wasted resources; unemployment remains at levels that amount to personal, social, and possibly political catastrophe; inflation has been below target, and there are good reasons to believe that the targets are too low.

This implies that the highest amount of waves which contribute to a maximum energy output lies at (T_mathrm{{p}}) = 26 s and between (H_{m0}) = 1.5 m and (H_{m0}) = 4.0 m.

If the average output lies above the ensemble classification threshold, the compound is classified as a positive; if the average falls below the threshold, the compound is classified as a negative.

An upper bound on the LQ performance of the output transient and the control input is derived, where the cost penalises the output transient and the control effort on the time interval where the output lies outside the prescribed neighbourhood of zero to which we achieve convergence.

Those whose output lies closest to one output extreme or the other – i.e., to 0 or to 1 – shift the average most and so have the greatest "voice" in the ensemble classification; networks that dissent strongly enough from the consensus classification can sway the ensemble classification in their direction.

In case of swell PQ event Volterra series output lie above the pure sine wave output in Fig. 1c, after swell the event sag will be appear so it will come below the pure sine wave Volterra series output after swell is over.

In [31], functional-decode-and-forward is shown to achieve the cut-set upper bound on the capacity region of the multi-way relay channel where the channel inputs and outputs lie in a finite field.

The trend of increasing the capacity of cement kilns has slowed down in recent years — maximum clinker output still lies between 12,000 and 13,000 tpd.

Between the input and output layers lies a single hidden layer in the typical architecture, or alternatively multiple hidden layers in the case of Deep Learning.

In fact, the designers of the PESQ algorithm calibrate its output to lay between that 1.5 to 4.5.