Yoonjin Lee

Applying machine learning methods to detect convection using Geostationary Operational Environmental Satellite-16 (GOES-16) advanced baseline imager (ABI) data

Yoonjin Lee, Christian D. Kummerow, Imme Ebert‐Uphoff · Atmospheric measurement techniques · 2021 · 42 citations · Full text

Natural Sciences, Earth Sciences, Meteorology +17

An Evaluation of Microbial and Chemical Contamination Sources Related to the Deterioration of Tap Water Quality in the Household Water Supply System

Yoonjin Lee · International Journal of Environmental Research and Public Health · 2013 · 40 citations · Full text

Life Sciences, Environmental Sciences, Microbiology +17

CIRA Guide to Custom Loss Functions for Neural Networks in Environmental\n Sciences -- Version 1

Imme Ebert‐Uphoff, Ryan Lagerquist, Kyle Hilburn et al. · arXiv (Cornell University) · 2021 · 22 citations · Full text

Computing, Computer Science, Environmental Sciences +15

Field Application of Modified In Situ Soil Flushing in Combination with Air Sparging at a Military Site Polluted by Diesel and Gasoline in Korea

Hwan Lee, Yoonjin Lee, Jae-Young Kim et al. · International Journal of Environmental Research and Public Health · 2014 · 19 citations · Full text

Engineering, Environmental Engineering, Soil Sciences +17

A simplified method for the detection of convection using high-resolution imagery from GOES-16

Yoonjin Lee, Christian D. Kummerow, Milija Županski · Atmospheric measurement techniques · 2021 · 18 citations · Full text

Natural Sciences, Earth Sciences, Meteorology +17