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Seungwon Seo

Dados Biográficos

ID8964564
NOMESeungwon Seo
PRENOMESSeungwon
SOBRENOMESeo
ASSINATURASEO S
AFILIAÇÕESIncheon National University
ORCID0009-0008-9222-4453
VERIFICADOSim
TOTAL DE OBRAS3
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2024
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H0
  • A systematic review on the integrations of CFD and artificial intelligence for the future perspectives of built environment

    Open Access•Jinwoo Choi, Minjin Kong et al.•ARTICLE•Sustainable Cities and Society•2026

  • A simplified machine learning model to forecast individual thermal comfort in older adults’ residential spaces without relying on wearable devices

    Open Access•Junsoo Lee, Seungwon Seo et al.•ARTICLE•Sustainable Cities and Society•2025

  • A machine learning-based forecasting model for personal maximum allowable exposure time under extremely hot environments

    Open Access•Yujin Choi, Seungwon Seo et al.•ARTICLE•Sustainable Cities and Society•2024

    Continuous work time control is crucial for preventing heat-related illnesses outdoors. • Machine learning was applied to forecast personal maximum allowable exposure time. • The proposed model improved forecast accuracy by incorporating biometric characteristics. • The most reliable model achieved a low mean absolute error (MAE) of just 11 seconds. • Personalized heat stress management strategy is now feasible for construction workers. As global…

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  • A machine learning-based forecasting model for personal maximum allowable exposure time under extremely hot environments

    Open Access•Yujin Choi, Seungwon Seo et al.•ARTICLE•Sustainable Cities and Society•2024

    Continuous work time control is crucial for preventing heat-related illnesses outdoors. • Machine learning was applied to forecast personal maximum allowable exposure time. • The proposed model improved forecast accuracy by incorporating biometric characteristics. • The most reliable model achieved a low mean absolute error (MAE) of just 11 seconds. • Personalized heat stress management strategy is now feasible for construction workers. As global…

  • A simplified machine learning model to forecast individual thermal comfort in older adults’ residential spaces without relying on wearable devices

    Open Access•Junsoo Lee, Seungwon Seo et al.•ARTICLE•Sustainable Cities and Society•2025

  • A systematic review on the integrations of CFD and artificial intelligence for the future perspectives of built environment

    Open Access•Jinwoo Choi, Minjin Kong et al.•ARTICLE•Sustainable Cities and Society•2026

Building Energy and Comfort Optimization (3 obras) · Air Quality Monitoring and Forecasting (2 obras) · Artificial Intelligence (2 obras) · Computer Science (2 obras) · Engineering (2 obras) · Machine learning (2 obras) · Simulation (2 obras) · Applications of artificial intelligence (1 obras) · Architectural engineering (1 obras) · Embedded system (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae