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The motion model decision algorithm selects, for each SI block, the best motion model (translational or perspective) using a MAD criterion, i.e., the motion model with the minimum MAD residual error for a given SI block is chosen.
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The model and decision algorithm that underpin the DSS are described and their performance discussed.
The output of the Weed Manager model and decision algorithm was extensively validated by experts, who confirmed the predicted responses to herbicide application were sufficiently accurate for practical use.
Based on this model, a decision algorithm was developed for the management of such a population.
For participants allocated to the T-group, the result of the decision model, a computerized decision algorithm based on the baseline assessment, is used as a basis for a preliminary selection of treatment components.
Initially, the program model with the above-mentioned decision algorithm, based on fuzzy sets, was thought to be applicable, since the number of relevant facts is well within manageable range; four major classes of drugs, slightly more than ten diagnostic variables, some ten receptors and seven neurotransmitters.
The most probable model is chosen according to a decision algorithm.
In the present model, every person employs the same decision algorithm.
The cost of different surveillance strategies was calculated using a decision algorithm including two models: (1) semiannual US (without AFP) performed at primary health-care institutions; (2) semiannual AFP determination followed by US, performed in a tertiary referral center, if the AFP crossed the thresholds selected to suspect HCC development.
Future research on this framework includes comparison of the performance of the CDE based on the proposed model with smarter higher level algorithms and the integration of this type of physical modeling with other decision algorithms to achieve more efficient algorithms.
A decision algorithm identifies economically successful weed management strategies based on model output.
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CEO of Professional Science Editing for Scientists @ prosciediting.com