An automatic decision model for optimal noise barrier plan in terms of health impact, productivity, and cost aspects 연구자 : J Choi, J Hong, H Kang, T Hong, HS Park, DE Lee 학회지명 : Building and Environment

Urban safety network for long-term structural health monitoring of buildings using convolutional neural network 연구자 : BK Oh, HS Park 학회지명 : Automation in Construction

Construction noise rating based on legal and health impacts 연구자 : J Hong, H Kang, T Hong, HS Park, DE Lee 학회지명 : Automation in Construction

Effects of corner modifications on wind loads and local pressures on walls of tall buildings 연구자 : KT Tse, G Hu, J Song, HS Park, B Kim 학회지명 : Building Simulation

Structural damage identification with a tuning-free hybrid extended Kalman filter 연구자 : DY Yun, T Hong, DE Lee, HS Park 학회지명 : Structural Engineering International

Convolutional neural network-based damage detection method for building structures 연구자 : BK Oh, B Glisic, HS Park 학회지명 : Smart Structures and Systems

Prediction of long-term strain in concrete structure using convolutional neural networks, air temperature and time stamp of measurements 연구자 : BK Oh, HS Park, B Glisic 학회지명 : Automation in Construction

Eco-friendly and economically optimal design model (EEODM) to reduce the CO2 emissions and the cost of long-span waffle slabs 연구자 : SH Lee, BK Oh, J Choi, T Hong, DE Lee, HS Park 학회지명 : Journal of Cleaner Production

Development of a prediction model for the proportion of buildings exposed to construction noise in excess of the construction noise regulation at urban construction sites 연구자 : J Hong, H Kang, T Hong, HS Park, DE Lee 학회지명 : Automation in Construction

Towards environmental sustainability in the local community: Future insights for managing the hazardous pollutants at construction sites 연구자 : J Hong, H Kang, J An, J Choi, T Hong, HS Park, DE Lee 학회지명 : Journal of Hazardous Materials