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(ii) To characterize the important features of this domain, the main classes of approach that have been used, and their advantages and disadvantages.
However, it seems to us likely that we have identified at least one example of each of the classes of approach which could be used to address this issue.
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This problem is successfully faced by two classes of approaches.
We will develop two classes of approaches – one case-based and the other model-based.
In Fig. 4, we distinguish four major classes of approaches to build message parsers.
We then move on to dissect two classes of approaches to the governance of complex problems, namely by enlarging the knowledge base and enlarging the actor base.
Three classes of approaches (sender, receiver, and environment-oriented approaches) are designed and the probability of in-sequence molecule delivery is investigated.
According to[2] in which the state-of-the-art in reverberant speech processing is discussed, there are two classes of approaches in dealing with reverberation problem, i.e., front-end-based and back-end-based approaches.
These classes of approaches can come as integrated multilayer solutions where the FG/BG estimation, made at lower per-pixel level, is refined by the per-region/frame level.
Three broad classes of approaches are presently used: bypassing this region altogether using wall functions, solving a separate set of equations in the near-wall region, weakly coupled to the outer flow, or simulating the near-wall region in a global, Reynolds-averaged, sense.
Representative methods from both classes of approaches are commonly used for parameter estimation in the field of system biology [ 7- 13].
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