Sentence examples for performance when faced with from inspiring English sources

Exact(4)

For example, in traditional QSAR modeling, a key test of any model is its performance when faced with a permuted dependent variable (also known as y-scrambling) [19].

Besides, extensive simulation results reveal that the RBDO designed heat sink is superior to conventional deterministic ones in providing a much more robust and reliable heat dissipation performance when faced with environmental uncertainties.

It has been experimentally shown for bacteria that they can accurately tune these parameters within only several hundred generations for optimal performance when faced with environmental change [ 1].

Worse TM performance when faced with TB patients or TB suspects may be the result of Mozambican policy restricting TB/HIV co-infection care to physicians; or may be a marker for worse performance in the presence of symptomatic patients in general.

Similar(56)

It is a describing property of the trial-by-trial variability of a time series and is observed most clearly during repeated human performances when faced with the same task in stable conditions.

A behavioral study showed that perceived eye gaze modulates performance in face recognition both at the encoding and retrieval levels, with better performance when facing someone with direct gaze, both in adults and children [46].

However, MI performance degrades when faced with a large amount of changes in the texture of retinal image and changes in scale [15].

This aspect makes it hard to evaluate the system performance when facing a new subject.

It proposes a hybrid learning system to estimate Human Machine System performance when facing unprecedented situations.

However, the performance degrades easily when faced with low signal-to-noise ratio (SNR) or non-stationary background noise.

Reducing this number is in line with our goal of avoiding overfitting to the specific training data set and of designing classifiers that result in good generalization performance that is, classifiers that perform well when faced with data outside the training set.

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