R. Ford, S. Running, R. Nemani, A modular system for scalable ecological modeling, Comput. Sci. Eng. (Fall) (1994) 32-- 44. Home/Search Document Not in Database Summary Related Articles Check |
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A Multiple Criteria Decision Support System for Testing.. - Mackay, Robinson (2000) (Correct)
....improved control over model development, analysis of model results, and model use [4,14] Knowledge based modeling has improved the rigor and provability of some earth science models. For instance, decision support systems have aided in the application of both hydrological and ecosystem models [7,10,30,34,36]. Decision support systems help in choosing, from a repository of models, a collection of models that is suitable for a given problem. While the model selection process remains largely humanguided a number of model description languages have D.S. Mackay, V.B. Robinson Fuzzy Sets and Systems 113 ....
R. Ford, S. Running, R. Nemani, A modular system for scalable ecological modeling, Comput. Sci. Eng. (Fall) (1994) 32-- 44.
Parallelization of the Hoshen-Kopelman Algorithm Using a .. - Berry, Constantin.. (1995) (1 citation) (Correct)
....Dr. Robert Gardner of the Oak Ridge National Laboratory, Environmental Science Division [4] The second map is a 7570 Theta 7940 ERDAS Lan map (FORD) containing pre classification values, obtained from applying a classification function on four or five of the inputs from thematic mapper imagery [3]. The original inputs are sensor readings (wavelengths) from different parts of the light spectrum. The pixel values in the input map are artificial values that represent map class membership. The values are logically significant, but not numerically. A data value of 8 is not necessarily closer to ....
FORD, R., RUNNING, S., AND NEMANI, R. 1994. A Modular System for Scalable Ecological Modeling. IEEE Computational Science & Engineering 1, 3, 32--44.
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