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As a basic study for developing an identification technique for boundary conditions of machines and structures, a new technique for a circular plate is proposed.
This study addressed this problem by employing a gain parameter to each control parameter, and developing an identification algorithm for these parameter gains.
The Japanese pteridophyte flora (733 taxa including subspecies and varieties) was used to test the utility of two plastid DNA barcode regions (rbcL and trnH-psbA) with the intention of developing an identification system for native gametophytes.
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Then, this study developed an identification procedure for λ-fuzzy measures using genetic algorithms.
The aim of this paperis to develop an identification method to determine the elastic properties of an inclusion.
In this paper, the goal is to develop an identification testing framework meaningful to highly interactive systems based on the application of constrained minimum crest factor multisine signals.
We establish an identifiability result using a projection method and suitable hypotheses on the operators involved and develop an identification method by reformulating the problem into a nondegenerate problem.
Kerstens and Managi (2012) developed an identification methodology for global technological change (GTC) and local technological change (LTC) through productivity indicators using both TFP results estimated under CPT and NCPT assumptions.
Based on the optimal input design, we can eliminate the influence of initial values generated by the system and develop an identification algorithm for multi-input, multi-output stochastic systems by means of finite impulse response (FIR) models.
We developed an identification code based on the results obtained for each marker (figure 1), defining 162 combinations: the two parental combinations plus 160 hybrid categories.
In models 1 to model 3, we adopted classification algorithms to develop an identification model.
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CEO of Professional Science Editing for Scientists @ prosciediting.com