2
Applications of Artificial Intelligence Methods to Problems in Environmental Science: Part II

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Wednesday, 20 January 2010: 8:30 AM-10:00 AM
B204 (GWCC)
Host: 8th Conference on Artificial Intelligence Applications to Environmental Science
Chair:  Philippe E. Tissot, Conrad Blucher Institute, Texas A&M University-Corpus Christi, Corpus Christi, TX

Papers:
  8:30 AM
2.1
Optimization of neural net training using patterns selected by cluster analysis: a case-study of ozone prediction level
Armando Pelliccioni Sr., ISPESL, Monteporzio Catone, Italy; and R. Cotroneo and F. Pungė
Recorded presentation

Presentation PDF (1.3 MB)

  8:45 AM
2.2
Visualize, analyze and mine satellite imagery using GLIDER software tool
Rahul Ramachandran, Univ. of Alabama, Huntsville, AL; and S. Graves, T. Berendes, M. Maskey, C. Chidambaram, S. A. Christopher, P. Hogan, T. Gaskins, and M. Smith
Recorded presentation

  9:00 AM
2.3
Design and validation of a neural network system for forecasting and monitoring fog events in the UAE using SEVIRI-MSG data
Abdulla Bushahab, Emirates Institution for Advanced Science & Technology, Dubai, United Arab Emirates; and H. Ghedira, K. Mubarak, A. Dawood, and H. Al Ahmad

  9:15 AM
2.4
Prediction of skew surge by a fuzzy decision tree
Samantha J. Royston, University of Bristol / Proudman Oceanographic Laboratory, Liverpool, Merseyside, United Kingdom; and K. Horsburgh and J. Lawry
Recorded presentation

Presentation PDF (1.1 MB)

  9:30 AM
2.5
Analyzing the effects of low level boundaries on tornadogenesis through spatiotemporal relational data mining
David John Gagne II, University of Oklahoma, Norman, OK; and T. A. Supinie, A. McGovern, J. B. Basara, and R. A. Brown
Recorded presentation

Presentation PDF (341.6 kB)

  9:45 AM
2.6
Capturing relationships between coherent structures and convectively-induced turbulence using Spatiotemporal Relational Random Forests
Jennifer Abernethy, NCAR/RAL, Boulder, CO; and T. A. Supinie, A. McGovern, and J. K. Williams
Recorded presentation

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