Sentence examples for worst identification from inspiring English sources

It reaches best identification rates for the FIOCRUZ and UFZ sub-dataset (more than 94 %), and worst identification rate for the NAIST sub-dataset (54 %).

The worst identification performance of the second stimulus has been observed at delays of about 225 ms between the onsets of the two stimuli [50], which is consistent with the LIDA hypothesis that there can be only one conscious content in one cognitive cycle [8], [16].

Step 3: Solve the worst case identification subproblem (68)–(77) as described in Sect.

Moreover, the worst case identification subproblem searches for worst case realizations within the uncertainty set that will lead to the largest possible security violations, while the number of identified worst cases is equal to the number of iterations of the C&CG algorithm.

Worst-case identification error bounds are also obtained for this nearly interpolatory algorithm.

The problem is how to choose the input signal in order to minimize the global worst-case identification error.

In comparison, the stochastic model with 10 scenarios achieves a shorter computational time of 709 s, partly because the worst-case identification subproblem is not involved.

The presented theoretical results provide a guideline on how to design experiments that minimize the worst-case identification error, as measured by the radius of information of the set of feasible model parameters, calculated in any norm.

In addition, it is shown that an alternative, simpler approach can be employed when input constraints are symmetric and the worst-case identification error is minimized in either 1- or ∞-norm.

In each case, the computational cost of the proposed approach is comparable with its fixed load direction oriented equivalent because the worst-load-direction identification process is searching on the space of allowable direction perturbations, which generally means an easier and smaller computational problem than the standard multi-load structure optimization.

Current PHA methods share common weaknesses such as their inability specifically to address multiple failures, their identification of worst-consequence rather than worst-risk scenarios, and their focus on individual parts of a process.