Wind Shear and Aircraft Aborted Landings: A Deep Learning Perspective for Prediction and Analysis
Wind Shear and Aircraft Aborted Landings: A Deep Learning Perspective for Prediction and Analysis
About this item
Full title
Author / Creator
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
In civil aviation, severe weather conditions such as strong wind shear, crosswinds, and thunderstorms near airport runways often compel pilots to abort landings to ensure flight safety. While aborted landings due to wind shear are not common, they occur under specific environmental and situational circumstances. This research aims to accurately pre...
Alternative Titles
Full title
Wind Shear and Aircraft Aborted Landings: A Deep Learning Perspective for Prediction and Analysis
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_d05a134a1dde4a359733fdbc32527868
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d05a134a1dde4a359733fdbc32527868
Other Identifiers
ISSN
2073-4433
E-ISSN
2073-4433
DOI
10.3390/atmos15050545
