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Tae‐Wan Kim

Datos Biográficos

ID7998461
NOMBRETae‐Wan Kim
NOMBRESTae‐Wan
APELLIDOKim
FIRMAKIM T W
AFILIACIONESChung-Ang University
ORCID0000-0001-5257-7256
VERIFICADOSí
TOTAL DE OBRAS3
TOTAL DE CITAS0
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2012
AÑO MÁS RECIENTE DE PUBLICACIÓN2024
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

Sin obras prominentes en esta 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 • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae