Session 2 |
| | Applications of Artificial Intelligence Methods to Problems in Environmental Science: Part II |
| | Chair: Philippe E. Tissot, Texas A&M University-Corpus Christi, Corpus Christi, TX
|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |