PUBLICATIONS and PRESENTATIONS

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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.
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Ramachandran R, Li X, Graves SJ, Clark R, Fitzgerald D. PEA: Phenomena Extraction Algorithm. In: 22nd International Conference on Interactive Information Processing Systems (IIPS), 86th American Meteorological Society Annual Meeting. 22nd International Conference on Interactive Information Processing Systems (IIPS), 86th American Meteorological Society Annual Meeting. Atlanta, GA; 2006.
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Li X, Plale B, Vijayakumar N, Ramachandran R, Graves SJ, Conover H. Real-time Storm Detection and Weather Forecast Activation through Data Mining and Events Processing. Earth Science Informatics. 2007 ;1:49-57.
Smith DK, Li X, Keiser K, Flynn S. Regional Air-Sea Interactions (RASI) Climatology for Central America Coastal Gap Wind and Upwelling Events. Oceans 2014 MTS/IEEE Conference. 2014 .
Ramachandran R, Conover H, Graves SJ, Keiser K, Rushing J. The Role of Data Mining in Earth Science Data Interoperability. ASPRS Annual Conference, Conference on Remote Sensing Education (CORSE), Education for the Next Millennium. 1999 .
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Graves SJ, Ramachandran R, Keiser K, Maskey M, Lynnes C. Solution Service Composition for Analysis on Online Science Data. NASA Science Technology Conference [Internet]. 2007 . Available from: http://esto.nasa.gov/conferences/nstc2007/papers/Graves_Sara_A3P1_NSTC-07-0061.pdf
Li X, Ramachandran R, Movva S, Graves SJ, Plale B, Vijayakumar N. Storm Clustering for Data-driven Weather Forecasting. In: AMS Annual Meeting, 24th International Conference on Interactive Information Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology. AMS Annual Meeting, 24th International Conference on Interactive Information Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology. New Orleans, LA; 2008.
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Hinke T, Rushing J, Ranganath HS, Graves SJ. Techniques and Experience in Mining Remotely Sensed Satellite Data. Artificial Intelligence Review: Issues on the Application of Data Mining. 2000 ;14:pp 503-531.

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