Wind shear prediction from light detection and ranging data using machine learning methods

10.3390/atmos12050643

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Main Authors: Huang, Jingyan, Ng, Michael Kwok Po, Chan, Pak Wai
Other Authors: STATISTICS & APPLIED PROBABILITY
Format: Article
Published: MDPI AG 2022
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/233345
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-2333452024-10-26T18:23:23Z Wind shear prediction from light detection and ranging data using machine learning methods Huang, Jingyan Ng, Michael Kwok Po Chan, Pak Wai STATISTICS & APPLIED PROBABILITY Light detection and ranging data Machine learning methods Prediction models Wind shear detection 10.3390/atmos12050643 Atmosphere 12 5 644 2022-10-14T00:35:38Z 2022-10-14T00:35:38Z 2021-05-18 Article Huang, Jingyan, Ng, Michael Kwok Po, Chan, Pak Wai (2021-05-18). Wind shear prediction from light detection and ranging data using machine learning methods. Atmosphere 12 (5) : 644. ScholarBank@NUS Repository. https://doi.org/10.3390/atmos12050643 2073-4433 https://scholarbank.nus.edu.sg/handle/10635/233345 Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ MDPI AG Scopus OA2021
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic Light detection and ranging data
Machine learning methods
Prediction models
Wind shear detection
spellingShingle Light detection and ranging data
Machine learning methods
Prediction models
Wind shear detection
Huang, Jingyan
Ng, Michael Kwok Po
Chan, Pak Wai
Wind shear prediction from light detection and ranging data using machine learning methods
description 10.3390/atmos12050643
author2 STATISTICS & APPLIED PROBABILITY
author_facet STATISTICS & APPLIED PROBABILITY
Huang, Jingyan
Ng, Michael Kwok Po
Chan, Pak Wai
format Article
author Huang, Jingyan
Ng, Michael Kwok Po
Chan, Pak Wai
author_sort Huang, Jingyan
title Wind shear prediction from light detection and ranging data using machine learning methods
title_short Wind shear prediction from light detection and ranging data using machine learning methods
title_full Wind shear prediction from light detection and ranging data using machine learning methods
title_fullStr Wind shear prediction from light detection and ranging data using machine learning methods
title_full_unstemmed Wind shear prediction from light detection and ranging data using machine learning methods
title_sort wind shear prediction from light detection and ranging data using machine learning methods
publisher MDPI AG
publishDate 2022
url https://scholarbank.nus.edu.sg/handle/10635/233345
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