A Stacked Generalization Model to Enhance Prediction of Earthquake-Induced Soil Liquefaction.

Preethaa, Sri; Natarajan, Yuvaraj; Rathinakumar, Arun Pandian; Lee, Dong-Eun; Choi, Young; Park, Young-Jun; Yi, Chang-Yong

Preethaa, Sri; Natarajan, Yuvaraj; Rathinakumar, Arun Pandian; Lee, Dong-Eun; Choi, Young; Park, Young-Jun; Yi, Chang-Yong.

Afiliação

Preethaa S; Department of Artificial Intelligence and Data Science, KPR Institute of Engineering and Technology, Coimbatore 641665, India.
Natarajan Y; Intelligent Construction Automation Center, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, Korea.
Rathinakumar AP; Department of Artificial Intelligence and Data Science, KPR Institute of Engineering and Technology, Coimbatore 641665, India.
Lee DE; Intelligent Construction Automation Center, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, Korea.
Choi Y; Research Engineer, QpiCloud Technologies, Bangalore 560045, India.
Park YJ; School of Architecture, Civil, Environment and Energy Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu 41566, Korea.
Yi CY; Earth Turbine, 36, Dongdeok-ro 40-gil, Jung-gu, Daegu 41905, Korea.

Sensors (Basel) ; 22(19)2022 Sep 26.

Article em En | MEDLINE | ID: mdl-36236392

Assuntos

Terremotos; Algoritmos; Aprendizado de Máquina; Redes Neurais de Computação; Solo

Palavras-chave

data augmentation; ensemble models; liquefaction; machine learning; prediction; settlement

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Terremotos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Índia

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