Sentence examples for in existing approach from inspiring English sources

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In existing approach, if a CM moves from one cluster to another cluster, then reassociation procedure is carried out.

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However, in order to address the challenge of sustainability transitions, institutional dynamics have not been considered explicitly enough in existing approaches.

Finally, simulation results demonstrated the availability and effectiveness of the proposed stability conditions, which are more general than those used in existing approaches.

Pervasive transcription and alternative processing of transcripts generate a wealth of interweaved transcripts that requires well-considered probe design strategies and is largely neglected in existing approaches.

In response to the priority placed on AoF by nuclear industry regulators and the apparent shortfalls in existing approaches, this paper presents how approaches from Systems Engineering Architecture Description (AD) can be used to address AoF difficulties.

Here we provide an overview of the most widely used methods in the field of binding affinity prediction, as well as of our own work in developing BEAR, an innovative methodology specifically devised to overtake some limitations in existing approaches.

In existing approaches to the inverse problem where genotypes are observed but pedigree relationships are not, dependence between phenotypes is either modeled as Bayesian uncertainty or mapped to an IBD model via inferred relatedness parameters.

It is surprising that PDP protocols are not prevalent in existing approaches.

This is not always the case in existing approaches to protocol verification, despite that fact that most attacks on communication protocols rely on exploiting faulty assumptions.

Up to now, there are two main categories of phase retrieval approaches in existing approaches, namely, semi-definite programming-based (SDP-based) approaches[7 11] and iterative projection approaches (Fienup-type methods)[12 18].

We introduce a new random effects method to these selection models which overcomes non-convergence caused by collinearity, small sample bias, and incorrect inference in existing approaches.

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