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The resulting IRRs were combined using Rubin's combination rules [ 18].
Criterion maps were combined using the fuzzy weighted linear combination operator.
The two signals were combined using Mini-Circuit's ZFSC-2-1W-S combiner.
These stages were combined using either two or three stages per combination.
The two objectives were combined using adaptive weighted sum method.
Then, all the generated partitions were combined using HGPA to obtain the consensus partition.
The data were combined using the CIDs provided by the assays.
Individual risk curves used in estimations for typhoons and floods were combined using convolution.
All analyses from multiple imputed data were combined using standard methods [27, 29].
Estimates from each imputed dataset were combined using Rubin's rules [21].
To classify the species, 9 regression techniques were combined using ensemble models.
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