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Tae‐Wan Kim

Dados Biográficos

ID7998461
NOMETae‐Wan Kim
PRENOMESTae‐Wan
SOBRENOMEKim
ASSINATURAKIM T W
AFILIAÇÕESChung-Ang University
ORCID0000-0001-5257-7256
VERIFICADOSim
TOTAL DE OBRAS3
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2012
ANO MAIS RECENTE DE PUBLICAÇÃO2024
ÍNDICE H0
  • 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…

  • Calibrating a social-force-based pedestrian walking model based on maximum likelihood estimation

    Open Access•Moon-Soo Ko, Moonsoo Ko et al.•ARTICLE•Transportation•2013

  • An analysis of Metro ridership at the station-to-station level in Seoul

    Open Access•Jinkyung Choi, Choi Jinkyung et al.•ARTICLE•Transportation•2012

Sem obras proeminentes nesta página.

  • An analysis of Metro ridership at the station-to-station level in Seoul

    Open Access•Jinkyung Choi, Choi Jinkyung et al.•ARTICLE•Transportation•2012

  • Calibrating a social-force-based pedestrian walking model based on maximum likelihood estimation

    Open Access•Moon-Soo Ko, Moonsoo Ko et al.•ARTICLE•Transportation•2013

  • 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…

Engineering (3 obras) · Computer Science (2 obras) · Mathematics (2 obras) · Simulation (2 obras) · Statistics (2 obras) · Transport engineering (2 obras) · Air Quality Monitoring and Forecasting (1 obras) · Artificial Intelligence (1 obras) · Building Energy and Comfort Optimization (1 obras) · Calibration (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