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Seungwon Seo

Biographic Data

ID8964564
NAMESeungwon Seo
GIVEN NAMESSeungwon
FAMILY NAMESeo
SIGNATURESEO S
AFFILIATIONSIncheon National University
ORCID0009-0008-9222-4453
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX0
  • 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…

No prominent works on this page.

  • 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 works) · Air Quality Monitoring and Forecasting (2 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Engineering (2 works) · Machine learning (2 works) · Simulation (2 works) · Applications of artificial intelligence (1 works) · Architectural engineering (1 works) · Embedded system (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae