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These components are identified using a block-based (DCT) transform.
Potential features for classification are identified using a facial model.
The cut cells near the immersed boundary are identified using a fictitious level set function.
The optimal IL solvents are identified using a deterministic optimization method with branch and bound algorithm.
building with an optimal PTMD are identified using a specified system identification procedure.
Material properties of composites are identified using a novel hybrid RSM PSO method in this paper.
During the sensing operations, the best spectrum opportunities are identified using a new subchannel quality metric.
The first arrivals are identified using a variance ratio between 1-s sections before and after a point.
The model coefficients are identified using a multiple step genetic algorithm based optimization procedure designed for large scale optimization problems.
The optimal product realization process alternative and its parameter values are identified using a multi-level optimization method.
The exchange of a chunk of nodes that are identified using a sparse cut metric was studied in Kurve et al. (2011b).
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