PUBLICATIONS and PRESENTATIONS

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Graves S, Li X, Ramachandran R, Lyatsky W, Tan A. An Interoperable Framework for Mining and Analysis of Space Science Data (F-MASS). NASA AISRP Workshop. 2003 .
Govindaiah S, Petty MD. A discrete event simulation-based multi-objective reinforcement learning reward function for optimizing manufacturing material handling. 2019 Simulation Innovation Workshop. 2019 .
Govindaiah S, Petty MD. Applying Reinforcement Learning to Plan Manufacturing Material Handling, Part 1: Background and Formal Problem Specification. 2019 ACM Southeast Conference. 2019 :168-171.
Govindaiah S, Petty MD. Applying Reinforcement Learning to Plan Manufacturing Material Handling, Part 2: Experimentation and Results. 2019 ACM Southeast Conference. 2019 :16-23.
Goodman M, Regner K, et al, Conover H, Ashcroft P. Science Data Processing for the Advanced Microwave Scanning Radiometer-Earth Observing System. International Society for Optical Science and Technology (SPIE) 49th Annual Meeting (Atmospheric and Environmental Remote Sensing Data Processing and Utilization: an End-to-End System Perspective). 2004 ;vol. 5548:pp. 195-206.
Goodman M, Jedlovec GJ, Conover H, Botts M, Li X, Maskey M. The Sensor Management for Applied Research Technologies (SMART) Project. NASA Science Technology Conference [Internet]. 2007 . Available from: http://esto.nasa.gov/conferences/nstc2007/papers/Goodman_Michael__A1P1_NSTC-07-0120.pdf
Goodman MH, Blakeslee R, Regner K, Meyer P, Conover H. Coordinating Aircraft During NASA Airborne Science Field Campaigns. In: Earth Science Technology Forum. Earth Science Technology Forum. Pasadena, CA; 2011.
Goodman M, Berthiau G, Conover H, Li X, Lu Y, Maskey M, Regner K, Zavodsky B, Blakeslee R, Botts M, et al. Data Assimilation Decision Making Using Sensor Web Enablement. In: SPoRT Data Assimilation Workshop. SPoRT Data Assimilation Workshop. Marshall Space Flight Center; 2009. Available from: http://weather.msfc.nasa.gov/sport/workshops/da_2009/Maskey_DA_Data.ppt
Goodman M, Blakeslee R, Graves SJ, Hardin D, He Y, Tanner S, Parker P. Using Geobrowsers to Convey Critical Information During a Natural Disaster. In: Fall Meeting of the American Geophysical Union. Fall Meeting of the American Geophysical Union. San Francisco, CA; 2007.
Goodman SJ, Raghavan R, Ramachandran R, Buechler D. Total Lightning and Radar Storm Characteristics Associated with Severe Storms in Central Florida. 9th Conference on Severe Storms. 1998 .
Goodman M, Blakeslee R, Graves S, Hardin D, He M, Conover H. A Survey of NASA's Tropical Atmospheric Research Field Campaigns. In: American Geophysical Union. American Geophysical Union. San Francisco, CA; 2009. Available from: http://adsabs.harvard.edu/abs/2009AGUFM.A51H0208Y
Goodman M, Regner K, Conover H, Ashcroft P, Wentz F, Conway D, Lobl E, Beaumont B, Hawkins L, Jones S. Atmospheric and Environmental Remote Sensing Data Processing and Utilization: an End-to-End System Perspective. International Society for Optical Science and Technology (SPIE) 49th Annual Meeting (Instruments, Methods, and Missions for Astrobiology VIII). 2004 .
Golshani F, Friesen O, Graves SJ. Program Committee for the Workshop on Database in Large AI Systems. In: AAAI-88. AAAI-88. Saint Paul, Minnesota; 1988.
Garrison WT, Petty MD. A Comparison of Simulation Optimization Algorithm Performance. 2019 IEEE SoutheastCon. 2019 .
Garrison WT, Petty MD. An Analysis of Machine Learning Online Training Approaches for Simulation Optimization. 2019 IEEE SoutheastCon. 2019 .
Garrison WT, Petty MD. A Technique to Enable Online Machine Learning Applications for Simulation Optimization. 2019 IEEE SoutheastCon. 2019 .
Garg V, Movva S, Maskey M, Ramachandran R. Extending a mass market tool to build collaborative portals in Geosciences. Cloud Computing and Collaborative Technologies in Geosciences. 2009 .
Gannon D, Plale B, Christie M, Marru S, Kandaswamy G, Fang L, Huang Y, Lee-Palickara S, Jenson S, Liu N, et al. The LEAD Science Portal Problem Solving Environment. 87th AMS Annual Meeting. 2007 .
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?

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