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Real-time identification of aircraft sound events
Ran Giladi
Research output
:
Contribution to journal
›
Article
›
peer-review
11
Scopus citations
Overview
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Dive into the research topics of 'Real-time identification of aircraft sound events'. Together they form a unique fingerprint.
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Keyphrases
Airport
100%
Background Noise
100%
Sound Events
100%
Aircraft Noise
100%
Aircraft Sound
100%
Real-time Identification
100%
Noise Monitor
100%
Noise Measurement
66%
Automatic Dependent Surveillance-broadcast (ADS-B)
66%
Well-being
33%
Noise Pollution
33%
True Positive
33%
False Negative Detection
33%
Noise Abatement
33%
Aircraft Landing
33%
Environmental nuisance
33%
Urban Background
33%
Aircraft Takeoff
33%
Earth and Planetary Sciences
Real Time
100%
Background Noise
100%
Aircraft Noise
100%
Noise Measurement
66%
Noise Pollution
33%
Noise Abatement
33%
Aircraft Landing
33%
Engineering
Airfield
100%
Measurement Noise
66%
Performed Measurement
33%
False Negative
33%
Aircraft Landing
33%
Takeoff
33%