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Yunsoo Choi

Showing results (11-20 of 34) with videos related to

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Scientific Reports|October 17, 2024
First top-down diurnal adjustment to NO<sub>x</sub> emissions inventory in Asia informed by the Geostationary Environment Monitoring Spectrometer (GEMS) tropospheric NO<sub>2</sub> columnsJincheol Park, Yunsoo Choi, Jia Jung, et al.
Journal of the Air & Waste Management Association (1995)|May 29, 2024
A case study of surface ozone source contributions in the Seoul metropolitan area using the adjoint of CMAQArash Kashfi Yeganeh, Mahmoudreza Momeni, Yunsoo Choi, et al.
The Science of the Total Environment|June 8, 2023
Large eddy simulation of sneeze plumes and particles in a poorly ventilated outdoor air condition: A case study of the University of Houston main campusHadi Zanganeh Kia, Yunsoo Choi, Delaney Nelson, et al.
Environmental Science & Technology|May 21, 2016
Effect of Ambient Temperature on Total Organic Gas Speciation Profiles from Light-Duty Gasoline Vehicle ExhaustAnirban Roy, Darrell Sonntag, Richard Cook, et al.
Environmental Pollution (Barking, Essex : 1987)|August 13, 2022
Contributions of meteorology to ozone variations: Application of deep learning and the Kolmogorov-Zurbenko filterBavand Sadeghi, Masoud Ghahremanloo, Seyedali Mousavinezhad, et al.
Environmental Pollution (Barking, Essex : 1987)|May 24, 2020
The characterization of fine particulate matter downwind of Houston: Using integrated factor analysis to identify anthropogenic and natural sourcesBavand Sadeghi, Yunsoo Choi, Subin Yoon, et al.
Atmospheric Environment (Oxford, England : 1994)|January 19, 2022
A comprehensive study of the COVID-19 impact on PM<sub>2.5</sub> levels over the contiguous United States: A deep learning approachMasoud Ghahremanloo, Yannic Lops, Yunsoo Choi, et al.
Neural Networks : the Official Journal of the International Neural Network Society|October 12, 2019
Using a deep convolutional neural network to predict 2017 ozone concentrations, 24 hours in advanceAlqamah Sayeed, Yunsoo Choi, Ebrahim Eslami, et al.
The Science of the Total Environment|June 23, 2024
Innovative approaches for accurate ozone prediction and health risk analysis in South Korea: The combined effectiveness of deep learning and AirQSeyedeh Reyhaneh Shams, Yunsoo Choi, Deveshwar Singh, et al.
Environmental Pollution (Barking, Essex : 1987)|July 22, 2023
A comprehensive approach combining positive matrix factorization modeling, meteorology, and machine learning for source apportionment of surface ozone precursors: Underlying factors contributing to ozone formation in Houston, TexasDelaney Nelson, Yunsoo Choi, Bavand Sadeghi, et al.
Pageof 4

Showing results (11-20 of 34) with videos related to

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Pageof 4
Scientific Reports|October 17, 2024
First top-down diurnal adjustment to NO<sub>x</sub> emissions inventory in Asia informed by the Geostationary Environment Monitoring Spectrometer (GEMS) tropospheric NO<sub>2</sub> columnsJincheol Park, Yunsoo Choi, Jia Jung, et al.
Journal of the Air & Waste Management Association (1995)|May 29, 2024
A case study of surface ozone source contributions in the Seoul metropolitan area using the adjoint of CMAQArash Kashfi Yeganeh, Mahmoudreza Momeni, Yunsoo Choi, et al.
The Science of the Total Environment|June 8, 2023
Large eddy simulation of sneeze plumes and particles in a poorly ventilated outdoor air condition: A case study of the University of Houston main campusHadi Zanganeh Kia, Yunsoo Choi, Delaney Nelson, et al.
Environmental Science & Technology|May 21, 2016
Effect of Ambient Temperature on Total Organic Gas Speciation Profiles from Light-Duty Gasoline Vehicle ExhaustAnirban Roy, Darrell Sonntag, Richard Cook, et al.
Environmental Pollution (Barking, Essex : 1987)|August 13, 2022
Contributions of meteorology to ozone variations: Application of deep learning and the Kolmogorov-Zurbenko filterBavand Sadeghi, Masoud Ghahremanloo, Seyedali Mousavinezhad, et al.
Environmental Pollution (Barking, Essex : 1987)|May 24, 2020
The characterization of fine particulate matter downwind of Houston: Using integrated factor analysis to identify anthropogenic and natural sourcesBavand Sadeghi, Yunsoo Choi, Subin Yoon, et al.
Atmospheric Environment (Oxford, England : 1994)|January 19, 2022
A comprehensive study of the COVID-19 impact on PM<sub>2.5</sub> levels over the contiguous United States: A deep learning approachMasoud Ghahremanloo, Yannic Lops, Yunsoo Choi, et al.
Neural Networks : the Official Journal of the International Neural Network Society|October 12, 2019
Using a deep convolutional neural network to predict 2017 ozone concentrations, 24 hours in advanceAlqamah Sayeed, Yunsoo Choi, Ebrahim Eslami, et al.
The Science of the Total Environment|June 23, 2024
Innovative approaches for accurate ozone prediction and health risk analysis in South Korea: The combined effectiveness of deep learning and AirQSeyedeh Reyhaneh Shams, Yunsoo Choi, Deveshwar Singh, et al.
Environmental Pollution (Barking, Essex : 1987)|July 22, 2023
A comprehensive approach combining positive matrix factorization modeling, meteorology, and machine learning for source apportionment of surface ozone precursors: Underlying factors contributing to ozone formation in Houston, TexasDelaney Nelson, Yunsoo Choi, Bavand Sadeghi, et al.
Pageof 4