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Assessment of Wind Shear Severity in Airport Runway Vicinity using Interpretable TabNet approach and...

Assessment of Wind Shear Severity in Airport Runway Vicinity using Interpretable TabNet approach and...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3145381255

Assessment of Wind Shear Severity in Airport Runway Vicinity using Interpretable TabNet approach and Doppler LiDAR Data

About this item

Full title

Assessment of Wind Shear Severity in Airport Runway Vicinity using Interpretable TabNet approach and Doppler LiDAR Data

Publisher

Philadelphia: Taylor & Francis

Journal title

Applied artificial intelligence, 2024-12, Vol.38 (1)

Language

English

Formats

Publication information

Publisher

Philadelphia: Taylor & Francis

More information

Scope and Contents

Contents

Severe wind shear events near airport runways pose serious safety risks and are a growing concern in civil aviation. Identification of severe wind shear risk factors may enhance aviation safety. Although rare, severe wind shear impacts safety by affecting the airspeed, lift, and maneuverability of aircraft. This study presents TabNet, a novel deep...

Alternative Titles

Full title

Assessment of Wind Shear Severity in Airport Runway Vicinity using Interpretable TabNet approach and Doppler LiDAR Data

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3145381255

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3145381255

Other Identifiers

ISSN

0883-9514

E-ISSN

1087-6545

DOI

10.1080/08839514.2024.2302227

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