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Reconfigurable circuit design is one of those approaches, which is based on reconfiguring the circuit considering degradation in circuit performances.
Unlike these approaches, which is based on a joint model, our method trains two exclusive RBMs for each speaker, aiming to capture speaker-specific conversion-friendly features.
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This is unlike previous approaches which are based on purely feature-based junction detection schemes [4], [5].
Unlike the aggregation-based MCDM approaches which are based on explicit mathematical formula as a fixed preference, the synthesizing criterion-based approaches are based on implicit rules.
The CFR techniques used in both of the two reconstructions are based on multivariate linear regression approaches, which are based on calibrating proxy records against instrumental data12,13,14,15,16,17.
Physical similarity and regression approaches, which were based on catchment attributes exhibited better results than global mean approach.
Unlike earlier implicit electrostatic PIC approaches (which are based on a linearized Vlasov Poisson formulation), ours is based on a nonlinearly converged Vlasov Ampére (VA) model.
We finally present algorithms for both approaches, which are based on generalizations of recent techniques for probabilistic logic programming under logical entailment.
Currently, this problem has been attempted using empirical approaches which are based on the regional earthquake recurrence relations from the available earthquake catalogue.
Three of the four shape representations are the Point Distance, Turning Function, and Grid-Based model approaches, which are based on known descriptors.
The aim of this study is to unveil the impact of UL on two TSD bioequivalence approaches which are based entirely on the interim results.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com