30 citations · 30 across the 1 of their papers we have counts for
2 papers
physics.soc-ph2025
Assessment of deep learning models integrated with weather and environmental variables for wildfire spread prediction and a case study of the 2023 Maui fires
Jiyeon Kim, Yingjie Hu, Negar Elhami-Khorasani +2
Predicting the spread of wildfires is essential for effective fire management and risk assessment. With the fast advancements of artificial intelligence (AI), various deep learning…
cs.CY2024★ 30 cited
PyGRF: An improved Python Geographical Random Forest model and case studies in public health and natural disasters
Kai Sun, Ryan Zhenqi Zhou, Jiyeon Kim +1
Geographical random forest (GRF) is a recently developed and spatially explicit machine learning model. With the ability to provide more accurate predictions and local interpretati…