PUBLICATIONS and PRESENTATIONS
Solutions for Mining Distributed Scientific Data. Fall American Geophysical Union Meeting. 2007 .
. Subsetting Data for EOSDIS. American Meteorological Society (AMS) 13th International Conference on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology. 1997 .
. A Syntactic and Semantic Metadata Solution for Intelligent Applications in Earth Science. American Geophysical Union 2004 Fall Meeting. 2004 .
. Target-Independent Mining for Scientific Data: Capturing Transients and Trends for Phenomena Mining. Third International Conference on Data Mining (KDD-97). 1997 .
. A Technique to Enable Online Machine Learning Applications for Simulation Optimization. 2019 IEEE SoutheastCon. 2019 .
. Total Lightning and Radar Storm Characteristics Associated with Severe Storms in Central Florida. 9th Conference on Severe Storms. 1998 .
. Towards Dynamically Adaptive Weather Analysis and Forecasting in LEAD . Proceedings of the 5th International Conference on Computational Science, Part II: ICCS 2005, DDDAS Workshop. 2005 ;3515:624-631.
. Towards Dynamically Adaptive Weather Analysis and Forecasting in LEAD . Proceedings of the 5th International Conference on Computational Science, Part II: ICCS 2005, DDDAS Workshop. 2005 ;3515:624-631.
. The Use of PC/AT Version ORACLE in Managing Satellite Meteorological Field Program Data. Fifth International Conference on Interactive Information and Processing Systems for Meteorology, Oceanography, and Hydrology. 1989 :pp. 184-188.
. Using ESML in a Semantic Web Approach for Improved Earth Science Data Usability. SCISW2003 Workshop. 2003 .
. ADaM: A Data Mining Toolkit for Scientists and Engineers. Computers & Geosciences. 2005 ;31:607-618.
. Analytical Solutions for Number Densities in the Homosphere. Eos, Transactions, AGU. 2004 ;85.
. Data Enabled Field Experiment Planning, Management, and Research using Cyberinfrastructure. Journal of Hydrometeorology [Internet]. 2015 ;16(3):1155-1170. Available from: http://journals.ametsoc.org/doi/pdf/10.1175/JHM-D-14-0163.1
. Data Enabled Field Experiment Planning, Management, and Research using Cyberinfrastructure. Journal of Hydrometeorology [Internet]. 2015 ;16(3):1155-1170. Available from: http://journals.ametsoc.org/doi/pdf/10.1175/JHM-D-14-0163.1
. Data Prospecting–A Step Towards Data Intensive Science. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2013 ;6(3):1233-1241.
. Discovering and Accessing Data from the Federation of Earth Science Information Partners. Eos, Transactions, AGU. 2002 ;Vol. 83.
. Earth Science Markup Language: A Solution to Address Data Format Heterogeneity Problems in Atmospheric Sciences. Bulletin of the American Meteorological Society. 2005 .
. Earth Science Markup Language: An Overview. Eos, Transactions, AGU. 2002 ;83.
. Earth Science Markup Language (ESML): a solution for scientific data-application interoperability problem. Computers & Geosciences [Internet]. 2004 ;30:117-124. Available from: http://www.sciencedirect.com/science/article/B6V7D-4BF5TY9-2/2/430d6854b74d0499f30ce80b57d51966
. Evaluation of Data Reduction Algorithms for Real-time assimilation and analysis. Weather Analysis and Forecasting [Internet]. 2010 . Available from: http://journals.ametsoc.org/doi/abs/10.1175/2010WAF2222296.1
. The GPM Validation Network and Evaluation of Satellite-Based Retrievals of the Rain Drop Size Distribution . Atmosphere. 2020 ;11(9):1010.
. Image Segmentation Using Association Rule Features. IEEE Transactions on Image Processing. 2002 ;vol. 11:pp. 558-567.
. Initiating Collaboration Among Organ Transplant Professionals Through Web Portals and Mobile Applications. Online Journal of Issues in Nursing. 2013 .
. An Interoperable Framework for Mining and Analysis of Space Science Data (F-MASS). Eos, Transactions, AGU. 2002 ;83.
. An Interoperable Framework for Mining and Analysis of Space Science Data (F-MASS). Eos, Transactions, AGU. 2002 ;83.
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