Pressure pattern recognition in buildings using an unsupervised machine-learning algorithm-Reference-Cited by-同舟云学术

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Pressure pattern recognition in buildings using an unsupervised machine-learning algorithm

Published:2021-07 Issue: Volume:214 Page:104629
ISSN:0167-6105
Container-title:Journal of Wind Engineering and Industrial Aerodynamics
language:en
Short-container-title:Journal of Wind Engineering and Industrial Aerodynamics

Author:

Kim Bubryur^ORCID,Yuvaraj N.^ORCID,Tse K.T.^ORCID,Lee Dong-Eun^ORCID,Hu Gang

Funder

Ministry of Science and ICT, South Korea

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Mechanical Engineering,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering

Reference51 articles.

1. Big data and clustering algorithms;Ajin,2016

2. Aerodynamic characteristics of two side-by-side circular cylinders and application of wavelet analysis on the switching phenomenon;Alam;J. Fluid Struct.,2003

3. Interference excitation of twin tall buildings;Bailey;J. Wind Eng. Ind. Aerod.,1985

4. Use of eigenvalues in the covariance integration method for determination of wind load effects;Best;J. Wind Eng. Ind. Aerod.,1983

5. Proper orthogonal decomposition of roof pressure;Bienkiewicz;J. Wind Eng. Ind. Aerod.,1993

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