PUBLICATIONS and PRESENTATIONS
Object Oriented Artificial Intelligence for Wargames. In: The 15th International Conference on Computer Games: AI, Animation, Mobile, Educational and Serious Games (CGAMES 2010). The 15th International Conference on Computer Games: AI, Animation, Mobile, Educational and Serious Games (CGAMES 2010). Louisville, KY; 2010.
. Image Segmentation Using Association Rule Features. IEEE Transactions on Image Processing. 2002 ;vol. 11:pp. 558-567.
. Using Association Rules as Texture Features. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2001 ;Vol 23:pp. 845-858.
. Comparing Optimization Methods for Wargame AI Strategies. In: The 10th International Conference on Computer Games: AI, Animation, Mobile, Educational and Serious Games (CGAMES 2007). The 10th International Conference on Computer Games: AI, Animation, Mobile, Educational and Serious Games (CGAMES 2007). Louisville, KY; 2007.
. Efficient Parallel Computation of Inverse Document Frequency Features for Text Mining. In: The 2007 International Conference on Data Mining (DMIN 07). The 2007 International Conference on Data Mining (DMIN 07). Las Vegas, NV; 2007.
. ADaM: A Data Mining Toolkit for Scientists and Engineers. Computers & Geosciences. 2005 ;31:607-618.
. The Observe-Orient-Decide-Act (OODA) Model For Strategic Game AI. In: The 6th International Conference on Computer Games: AI and Mobile Systems (CGAIMS 2005). The 6th International Conference on Computer Games: AI and Mobile Systems (CGAIMS 2005). Louisville, KY; 2005.
. Use of Genetic Algorithms to Refine Military Tactics and Game the System. In: EUROSIS GAMEON-NA 2007. EUROSIS GAMEON-NA 2007. Gainesville, FL; 2007.
. A pragmatic understanding of 'knowing that' and 'knowing how': The pivotal role of conceptual structures . Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream. 1997 :25 - 40.
. Processing Direct Broadcast Data to Reduce Latency of Aqua AMSR-E Products. 2011 Fall Meeting AGU. 2011 .
. AMSR-E SIPS Processing Status. In: AMSR-E Science Team Meeting. AMSR-E Science Team Meeting. Huntsville, AL; 2010.
. AMSR-E SIPS Instrument Anomaly Observations. Beltsville, MD: GSFC; 2012.
. Processing Direct Broadcast Data to Reduce Latency of Aqua AMSR-E Products. In: AGU. AGU. San Francisco, CA; 2011.
. . Flexible Processing at the AMSR-E SIPS. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS '05). IEEE International Geoscience and Remote Sensing Symposium (IGARSS '05). Seoul, Korea; 2005.
. Introducing LANCE, NASA’s Near-real-time Processing Capability for Aqua AMSR-E. In: American Geophysical Union. American Geophysical Union. San Francisco, CA; 2010.
. Product Delivery Record Server Data Transfer at the AMSR-E SIPS. IEEE International Geoscience & Remote Sensing Symposium (IGARSS '06). 2006 ;1:245-248.
. Introducing NASA's Near-real-time Processing Capability for Aqua AMSR-E . [Internet]. 2010 . Available from: http://www.itsc.uah.edu/main/sites/default/files/lance_poster.jpg
. LANCE Processing at the AMSR-E SIPS. In: AMSR-E Science Team Meeting. AMSR-E Science Team Meeting. Huntsville, AL; 2010.
. National Middleware Inititative. Alabama Middleware Conference. 2002 .
. . Discovering and Accessing Data from the Federation of Earth Science Information Partners. Eos, Transactions, AGU. 2002 ;Vol. 83.
. Data Mining: Atmospheric Science Case Study. In: NASA Workshop on Issues in the Application of Data Mining to Scientific Data. NASA Workshop on Issues in the Application of Data Mining to Scientific Data. University of Alabama in Huntsville, Huntsville, AL; 1999.
. Visualize, analyze and mine satellite imagery using GLIDER software tool. In: 90th AMS Annual Meeting. 90th AMS Annual Meeting. Atlanta, GA; 2010.
. Estimating Ice Water Content Using Observed Lightning. International Conference on Atmospheric Electricity. 1996 .
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