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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 .
Gatlin P, Kirstetter P, Petersen W, Berendes T, Stough S, Marks D, Pippitt J, Wolff D. Ground-based Radar Validation Networks for GPM satellite products. In: American Geophysical Union Fall Meeting. American Geophysical Union Fall Meeting. Virtual: American Geophysical Union Fall Meeting; 2020.
Gatlin PN. The GPM Validation Network and Evaluation of Satellite-Based Retrievals of the Rain Drop Size Distribution Petersen WA, Pippitt JL, Berendes TA, Wolff DB, Tokay A. Atmosphere. 2020 ;11(9):1010.
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.
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, 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 .
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, 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 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, 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, 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
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.
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 .
Graves SJ, Rahimian E. A Relational Data-Knowledge Base System and It's Potential in Developing a Distributed Data-Knowledge System. In: Conference on Artificial Intelligence for Space Applications. Conference on Artificial Intelligence for Space Applications. Huntsville, Alabama.; 1986. pp. p. 7-16.
Graves SJ. Information Technology Research Center of the National Space Science and Technology Center. In: Technical and Business Exhibition and Symposium (TABES 2000). Technical and Business Exhibition and Symposium (TABES 2000). Huntsville, AL; 2000.
Graves SJ, Conover H, Keiser K, Ramachandran R, Sandi Redman, Rushing J, Tanner S. Data Interchange in a Grid Environment: The Use of the Earth Science Markup Language (EMSL) in the Linked Environments for Atmospheric Discovery (LEAD). Supercomputing Conference 2004. 2003 .
Graves S, Ramachandran R, Movva S, Conover H, Fox P, McGuinness D. A Distributed Knowledge Extraction Framework Based on Semantic Web Services. AISR NASA Investigator Workshop. 2008 .
Graves SJ, Goodloe M. Improving Performance of an Electrical Power Expert System with Genetic Algorithms. In: First International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems. First International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems. University of Tennessee Space Institute, Tullahoma, Tennessee; 1988. pp. pp. 298-305.
Graves SJ, Law E, Zaslavsky I, Meier O, Koskela R, Fulker D, Keiser K. EarthCube’s Evolving Science Workbench. EarthCube All Hands Meeting. 2018 .
Graves SJ, Hinke T, Kansal S. Metadata: The Golden Nuggets of Data Mining. In: First IEEE Metadata Conference. First IEEE Metadata Conference. Bethesda, Maryland; 1996.
Graves SJ. Responding to Exponentially Increasing Demand: Modernizing NOAA's Data and Information System. University Corporation for Atmospheric Research Data Management Panel with final report issued to the U.S. Congress, Boulder, Colorado; 1994.

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