Sentence examples for handling identification from inspiring English sources

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Heuristic optimization has shown its superiority in handling identification problem of complicated system, for methods based on heuristic optimization do not have special requirements on model structures of the target system.

67 68 The service blueprint that emerged from our paired interviews with senior laboratory staff confirmed three predominant aspects of sample management that can lead to lost or delayed results: sampling and handling, identification and tracking.

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Recently the tsunami disaster, the London bombings and the landfall of hurricane Katrina demonstrated once more the need for an accurate, quick and easy to handle identification system.

Professor Garrett said the decision would provide a model for legislatures and courts around the country that "have been at a loss for what to do" and needed "a structure for how judges should handle identifications in the courtroom".

"It is encouraging," said Ellen Borakove, a spokeswoman for the chief medical examiner, who is handling the identification process.

In the present study, some aspects of the housing and testing conditions were equated between laboratories (e.g. supplier, testing order, position of cages within the rack), while others remained laboratory-specific (e.g. local room architecture, tracking software, experimenter, time of testing, handling and identification method).

For one object with a handle, palmar grasp was selected due to an error in object handle identification and for 4 objects pinch grasp was selected due to the strict threshold for small object classification, which was optimized based on a different object dataset (training).

Moreover, a new optimal refined instrumental variable technique is developed to handle the identification of a linear (ARX) predictor combined with an ARMA noise model in a closed-loop framework.

SVMs refer to kernel-based methods that have been introduced as a robust approach to classification and regression problems, lately has handled nonlinear identification problems, the so called support vector regression.

We addressed the challenge of designing a novel method to handle the identification and extraction of heterogeneous arguments such as symbolic arguments, quantitative arguments composed of numbers and various measurement units.

Thus, the proposed Algorithm 3 is flexible enough to handle the identification of time-varying delays.

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