Sentence examples for noise sensitive from inspiring English sources

"noise sensitive" is correct and usable in written English.
You can use it when you are describing someone or something as being easily disturbed or irritated by loud noises or sound. For example: "Many of the birds in the park are noise sensitive, so please keep your voices down."

Exact(30)

Noise sensitive individuals would, because of their sensitiveness, have a greater interest in participation compared to a non-sensitive person, analogous to findings by others studying reasons for survey participation [ 10].

The next morning, Rebhan, who describes himself as "noise sensitive," typed a quiet manifesto of sorts.

Noise prediction is very important for new wind farms located near to noise sensitive receivers.

There were, however, some indications that noise sensitivity might moderate both subjective and objective measures such as higher ratings of stress and elevated cortisol levels in high noise sensitive participants.

Finally, an illustrative example is given concerning a hypothetical scenario with five different noise sensitive locations and where different optimal trajectories are obtained for different hours of the day.

MBP is very noise sensitive and has a relatively poor performance even for low levels of noise.

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Similar(30)

Harsh and changing operating environments are a challenge to the low-noise sensitive electronic design.

Noise levels from the operational railway exceeded targets given in the policy at two noise-sensitive urban residential sites.

The biggest problems, Mr. Brundige said, come from helicopters operated by New York City charter companies whose pilots ignore his pleas to operate at higher altitudes over less noise-sensitive routes.

This paper addresses a multi-objective facility location problem, concerning the location of noise-sensitive and noise-generating facilities in urban environments.

However, by relying on the dominant orientation estimation or several pixels based interaction to achieve rotation invariance, these descriptors tend to be error-prone or noise-sensitive.

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