Session 9A AI Applications for Air Quality

Wednesday, 15 January 2020: 1:30 PM-2:30 PM
156A (Boston Convention and Exhibition Center)
Hosts: (Joint between the 19th Conference on Artificial Intelligence for Environmental Science; and the Events )
CoChair:
Surya Karthik Mukkavilli, Montreal Institute for Learning Algorithms (Mila), Montreal, QC

Papers:
1:30 PM
9A.1
PMNet: Improving Aerosol Predictions Using Deep Neural Nets for Limited Ground Stations
Caleb Hoyne, McGill Univ., Montreal, Canada; and S. K. Mukkavilli and D. Meger
Recorded Presentation

1:45 PM
9A.2
Improving Geophysical Air Quality Forecasts With Machine Learning Algorithms
Hervé Petetin, Barcelona Supercomputing Center, Barcelona, Spain; and A. Soret, M. Guevara, K. Serradell, and C. Pérez García-Pando

2:00 PM
9A.3
Using a Feed-Forward MLP Neural Network to Fill Gaps in N2O Emission Data
Benjamin Matthew Fehr, Univ. of New Hampshire, Durham, NH; and C. Dorich and R. Conant
Recorded Presentation

2:15 PM
9A.4
Satellite-Derived PM2.5 concentrations over South Korea Using GOCI Aerosol Products and a Machine Learning Method
Yeseul Cho, Yonsei Univ., Seoul, Korea, Republic of (South); and J. Kim, H. Lee, M. Choi, S. Lee, H. Lim, J. Im, and Y. S. Choi

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