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Such methods require large amounts of time and money to characterize a narrow range of foams.
However, as mentioned above, these methods require large equipment.
Most ratemaking methods require large samples of long-term loss data or farm-level yield data, which are often unavailable in developing countries.
As the density estimation or support-vector-based methods require large training sets, when this is not feasible, one can approximate the target class by a simpler reconstruction model.
These methods require large amounts of the target molecule, as they use high concentration of the molecule(s) to be crystallized.
Other methods require large numbers of replicates to calculate t-test p-values or to determine binding response curves at a range of soluble competitor concentrations [10].
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Earlier methods required large uncontaminated samples, but these were impossible to get because of damage from original conservation methods.
(2) Training computer vision methods requires large datasets of relevant traffic sign images which is not available.
The effectiveness of the self-assessment methods for identification of foetuses at risk or the compliance of the self-assessment methods requires larger study populations and other methods.
Both of these processes, and particularly the diffusion method, required large, complex facilities and huge amounts of electric power to produce even small amounts of separated uranium-235.
The basically exact method of (truncated) eigenfunction expansions for simple expansion chambers involves very complicated algebra, and the numerical finite element method requires large computation time and core storage.
More suggestions(15)
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