Session 3B AI Applications to Air Quality

Monday, 7 January 2019: 2:45 PM-4:00 PM
North 125AB (Phoenix Convention Center - West and North Buildings)
Host: 18th Conference on Artificial and Computational Intelligence and its Applications to the Environmental Sciences
Chair:
Edwin Campos, Uptake Technologies, Data Science - Weather, Chicago, IL

Papers:
2:45 PM
3B.1
Application of Deep Neural Networks in Top-Down NOx Emissions Estimation
Hyun Cheol Kim, NOAA/OAR/ARL, College Park, MD; and B. Baker, T. Chai, C. Bae, S. You, B. U. Kim, and S. Kim
Recorded Presentation

3:00 PM
3B.2
Gradient Boosting Machine Learning to Improve Satellite-Derived Column Water Vapor with Implications for Estimating Ground-Level Fine Particulate Air Pollution
Allan C. Just, Icahn School of Medicine at Mount Sinai, New York, NY; and R. B. Chatfield, A. Lyapustin, Y. Wang, M. Sorek-Hamer, J. Rush, and I. Kloog
Recorded Presentation

3:15 PM
3B.3
Application of Machine Learning Algorithms for Short Term Forecasting of PM2.5: A Novel Hybrid Transfer Learning Approach
Mohammad A Moghaddam, The University of Arizona, Tucson, AZ; and A. Sorooshian
Recorded Presentation

3:30 PM
3B.4
Short-Term Forecasting of PM2.5 in High-Density City: A Spatio-Temporal Deep Learning Model Framework in Hong Kong
Meilan Wang, Hong Kong University of Science and Technology, Hong Kong, Hong Kong; and K. H. Lau

3:45 PM
3B.5
Improved Lidar Data Classification, Using State-of-the-Art Machine Learning Techniques
Ghazal Farhani, The University of Western Ontario, London, ON, Canada; and R. J. Sica, M. Daley, A. Haefele, and D. Cecil
Recorded Presentation

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