1
Applications of Artificial Intelligence Techniques to Air Pollution Problems

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Tuesday, 19 January 2010: 3:30 PM-5:30 PM
B308 (GWCC)
Hosts: (Joint between the 16th Conference on Air Pollution Meteorology; and the 8th Conference on Artificial Intelligence Applications to Environmental Science )
Cochairs:  Sue Ellen Haupt, Meteorology, Penn State Univ., University Park, PA and Michael J. Brown, Systems Engineering & Integration Group, LANL, Los Alamos, NM

Papers:
  3:30 PM
J1.1
Evaluation of sensor placement techniques
Ian H. Griffiths, RiskAware Ltd, Bristol, United Kingdom; and I. Bush
  3:45 PM
J1.2
  4:00 PM
J1.3
Using regression-based source detection algorithm for source location with FFT-07 data
Randolph J. Evans, ENSCO, Inc., Melbourne, FL; and S. E. Masters and M. A. Kienzle
  4:15 PM
J1.4
Source Term Characterization of FFT07 Data using a Genetic Algorithm
Luna M. Rodriguez, Penn State Univ., University Park, PA; and S. E. Haupt, G. Young, A. J. Annunzio, and K. J. Schmehl
  4:30 PM
J1.5
Combined Methods from Entity and Field Frameworks to Determine the Source Characteristics of a Contaminant
Andrew J. Annunzio, Penn State Univ., University Park, PA; and S. E. Haupt, G. Young, and L. M. Rodriguez
  4:45 PM
J1.6
A forensic approach to source location applied to FFT-07 data
Shawn Rottmann, ENSCO, Melbourne, FL; and A. Siegel
  5:00 PM
J1.7
Machine Learning for the Source Detection of Atmospheric Emissions
Guido Cervone, George Mason University, Fairfax, VA; and P. Franzese
  5:15 PM
J1.8
Real-time fusion of sensor data to achieve improved situational awareness
Ian H. Griffiths, RiskAware Ltd, Bristol, United Kingdom; and M. Bull and L. Carrivick
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