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The approach feasibility is demonstrated by using a training dataset of computer tomography scans from British subjects aged 25 106 years (75 male and 34 female).

In order to solve the problem of stability control for biped robots, the concept of stability training is proposed by using a training platform to exert random disturbance with amplitude limitation on robots that are to be trained.

We design a personalized fitting pattern by using a training set which comes from the similarity score set with regard to the target user and target item.

MP and OMP, two greedy algorithms originally proposed for sparse recovery problems, sequentially estimate the sparse channel by using a training sequence [14, 28].

MP applies sequential forward selection to determine a sparse representation of the channel h by using a training sequence and its corresponding received signal.

In "Personalized fitting", we present our design of a personalized fitting pattern by using a training set, and we use the non-rating features.

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We can easily extract fuzzy rules from the lung cancer data set by using a trained MOEAIF model.

In contrast, we directly intervened with performance in one of these domains by using a discrimination training paradigm to specifically enhance auditory discrimination skills, and then we assessed the training effects on both perceptual and production skills.

For a number of years, we have experience with high-intensive, isolated training of the lumbar extensors in military personnel with nonspecific LBP, by using a special training device.

In addition, an iterative symbol detector was presented to mitigate the superimposed training effects on information sequence recovery, thereby offering an alternative to enhance the channel estimation performance by using a large training power while without sacrificing SER performance degradation.

Mid-classified and misclassified pixels that are considered unreliable pixels are reclassified by using a novel training of the developed scheme.

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