PUBLICATIONS and PRESENTATIONS

Found 520 results
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Conover H, Regner K. Near-real-time processing for Aqua AMSR-E data. [Internet]. 2010 . Available from: https://www.itsc.uah.edu/sites/default/files/lance_poster.jpg
Graves SJ, Shah BH. A Neural Network for Acquisition and Discrimination of Object Images. International Neural Network Society Annual Meeting. 1988 :p. 467.
Stano GT. A New Look at Lightning - The Geostationary Lightning Mapper. University of Nebraska Earth and Atmospheric Science department Stout seminar series. 2019 .
Drewry M, Conover H, Graves SJ, Goodman SJ. A New Perspective on EOSDIS Data Management: The LIS SCF. In: American Meteorological Society (AMS) 13th International Conference on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology. American Meteorological Society (AMS) 13th International Conference on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology. ; 1997.
Stano GT. A new perspective on lightning observations. National Weather Association Newsletter,. 2019 .
Conover H, Graves SJ, Ramachandran R, Sandi Redman, Rushing J, Tanner S. New Technologies for Improving Earth Science Data Usability. AGU Annual Meeting. 2003 .
Berendes T. New Tool for Satellite Image Analysis. 2011 ;92(11):1407.
Weigel A. A New Way to Explore NASA Field Campaign Data. American Geophysical Union 2016 Fall Meeting. 2016 .
Conover H, Graves SJ, Keiser K, Pearson C, Ramachandran R. A Next Generation Information System for Earth Science Data. International Symposium on Optical Science, Engineering and Instrumentation (SPIE) 44th Annual Meeting and Exhibition. 1999 .
Movva S, Ramachandran R, Li X, Cherukuri P, Graves SJ. Noesis: A Semantic Search Engine and Resource Aggregator for Atmospheric Science. In: ; 2007.
Ramachandran R, Movva S, Cherukuri P, Graves S. Noesis: An Ontology-based Semantic Search Tool and Resource Aggregator. Geoinformatics 2006. 2006 .
Ramachandran R, Movva S, Li X, Cherukuri P, Graves S. Noesis: Ontology based Scoped Search Engine and Resource Aggregator for Atmospheric Science. AGU Annual Meeting. 2006 .
Li X, Ramachandran R, Movva S, Graves SJ. Noise Removal in FUV Imagery Data Using Context Information. IEEE Transactions on Knowledge and Data Engineering: Intelligent Data Preparation. 2005 ;17.
Li X, Ramachandran R, Graves S, Zavodsky B, Brewster K, Lazarus S. A novel approach to detect regions of phenomena from NAM model outputs. In: 25th International Conference on Interactive Information Processing Systems (IIPS), 89th AMS Annual Meeting. 25th International Conference on Interactive Information Processing Systems (IIPS), 89th AMS Annual Meeting. Phoenix, AZ; 2009. Available from: http://ams.confex.com/ams/89annual/techprogram/paper_150718.htm
Petty M. NP-Completeness. Computer Science Department, CS 617 Design and Analysis of Algorithms, University of Alabama in Huntsville,. 2016 .
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Rushing J, Tiller J. 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.
Graves SJ, Williams SF, Criswell E. An Object-oriented Approach to the Management of Meteorological and Hydrological Data. The Sixth International Conference on Interactive Information and Processing Systems for Meteorology, Oceanography, and Hydrology. 1990 .
Detwiler A, Ramachandran R, Smith P. Observations of Electrification in CaPE Thunderstorms. In: 17th Conference on Severe Local Storms. 17th Conference on Severe Local Storms. St. Louis; 1993.
Smith P, Musil D, Detwiler A, Ramachandran R. Observations of Mixed-Phase Precipitation Within a CaPE Thunderstorm. Journal of Applied Meteorology. 1999 .
Smith P, Detwiler A, Musil D, R. Ramachandran. Observations of Mixed-phase Precipitation Within a CaPE Thunderstorm. Conference on Cloud Physics. 1995 .
Rushing J, Morgan G, Tiller J, Tanner S, Farnell B. 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.
Anon. On-Board Data Mining. In: Scientific Data Mining and Knowledge Discovery. Vol. X. Scientific Data Mining and Knowledge Discovery. Springer; 2009. pp. p. 345-376. Available from: http://www.springer.com/cda/content/document/cda_downloaddocument/9783642027871-c1.pdf?
Tanner S, Graves SJ, Ramachandran R, Alshayeb M, Criswell E, McDowell A, McEniry M, Regner K. On-Board Mining in the Sensor Web. NSF Data Mining Workshop. 2002 .
Tanner S, Conover H, Graves S, Ramachandran R, Rushing J. On-Board Mining in the Sensor Web. American Geophysical Union 2004 Fall Meeting. 2004 .
Stano GT. Ongoing lightning activities at the Global Hydrology Resource Center. Annual GLM Science Meeting. 2019 .

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