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A Technique of Analyzing Trust Relationships to Facilitate Scientific Service Discovery and Recommendation.

, , , , , , , and . IEEE SCC, page 57-64. IEEE Computer Society, (2013)

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Satellite Irrigation Management Support With the Terrestrial Observation and Prediction System: A Framework for Integration of Satellite and Surface Observations to Support Improvements in Agricultural Water Resource Management., , , , , , , , , and 6 other author(s). IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 5 (6): 1709-1721 (2012)Optical Flow for Intermediate Frame Interpolation of Multispectral Geostationary Satellite Data., and . CoRR, (2019)Mapping Burned Areas in Tropical Forests Using a Novel Machine Learning Framework., , , , , and . Remote. Sens., 10 (1): 69 (2018)Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries - PERSIANN-cGAN., , , , , , , and . Remote. Sens., 11 (19): 2193 (2019)Evaluation of MODIS LAI/FPAR Product Collection 6. Part 1: Consistency and Improvements., , , , , , , , and . Remote. Sens., 8 (5): 359 (2016)Evaluation of MODIS LAI/FPAR Product Collection 6. Part 2: Validation and Intercomparison., , , , , , , , and . Remote. Sens., 8 (6): 460 (2016)A Novel Atmospheric Correction Algorithm to Exploit the Diurnal Variability in Hypertemporal Geostationary Observations., , , , , , and . Remote. Sens., 14 (4): 964 (2022)A Framework for Deep Learning Emulation of Numerical Models With a Case Study in Satellite Remote Sensing., , , , and . IEEE Trans. Neural Networks Learn. Syst., 34 (7): 3345-3356 (July 2023)The Variation of Land Surface Phenology From 1982 to 2006 Along the Appalachian Trail., , , , , , and . IEEE Trans. Geosci. Remote. Sens., 51 (4-1): 2087-2095 (2013)Prediction of Continental-Scale Evapotranspiration by Combining MODIS and AmeriFlux Data Through Support Vector Machine., , , , , , , and . IEEE Trans. Geosci. Remote. Sens., 44 (11-2): 3452-3461 (2006)