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Hyo-Jong Song
Myongji UniversityMeeting roles in:
Ensemble-Based Background Error Diagnostics for Improving KIM Hybrid Data Assimilation
Evaluating PM2.5 Estimation Errors over South Korea: A Comparison between MPAS-CMAQ and WRF-CMAQ
MODELING FUTURE PLANT SPECIES OCCURRENCE USING MACHINE LEARNING TRAINED ON PALEO-CLIMATE TRENDS, eDNA, AND POLLEN DATA
Advanced Road-Segment Greenhouse Gas and Air Pollution Estimation Using Vision AI Traffic Data Fused with Real-World Sensor Measurements
Machine Learning-Based Bias Correction for Improving PM2.5 Prediction Performance Using the Community Multiscale Air Quality (CMAQ) Model
Spatiotemporal Analysis of the Built Environment's Role in CO₂ Emissions in South Korea Using Satellite Imagery and Deep Learning
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