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On the basis of this method, the number of learners from low participation areas in London is now calucated at 23%.
In this method, the number of experiments is reduced.
Using this method the number of cells is decreased considerably.
In this method, the number of unknowns is equal to the parameters of the probability distribution.
For the eigenphone method, the number of eigenphones (N) was fixed to 100.
But with the proposed method, the number of binary variables is 3 for three units.
Because of the incorporation of the gap metric method, the number of operational regimes is minimised.
Using this method, the number of alarm tags analyzed for root cause identification is short-listed.
Using this method the number of required experiments was reduced to 25.
Using this hypercube method, the number of training data was taken as 54 and test data as 15.
However, to detect false H0 upon applying the sequential Bonferroni method, the number of possible SD was extremely reduced.
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