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The most prominent conventional procedures used for the estimation of the Nakagami fading parameter, m, are based on either maximum likelihood estimation or moment-based estimators [2, 3].
Despite wide use of regression-based regional flood frequency analysis (RFFA) methods, the majority are based on either ordinary least squares (OLS) or generalized least squares (GLS).
Chemical processes are based on either acids (i.e., sulfite pulping) or alkalies (alkaline pulping, including soda and sulfate [kraft] processes).
NoC communication architectures currently are based on either completely regular or fully customized topologies.
Most of these algorithms are based on either simulation or theory.
The majority of these models are based on either empirical heuristics or rules.
Reported methods for these calculations are based on either equation-solving or Gibbs free energy minimization approaches.
Most of the existing OED methods are based on either linear regression or Laplacian regularized least squares (LapRLS) models.
Models currently available for a PEM fuel cell are based on either empirical or 3-D computational fluid dynamics (CFD).
These comparisons are based on either single setup or multiple setups on machines for processing jobs in the same group.
For these flow conditions, flow resistance models are based on either hydraulic geometry or roughness layer theory.
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