Your English writing platform
Free sign upSuggestions(1)
Exact(1)
The average test accuracies of different pattern identification methods are presented in Table 1.
Similar(59)
Section 3 presents the proposed CFA pattern identification method.
In this paper, we introduce an efficient Bayer CFA pattern identification method based on singular value decomposition.
Using in silico primers and probes designed by a pattern identification method [14], our method utilized highly sensitive and specific tests for Bacteroidetes and Firmicutes.
Artificial neural networks (ANNs) and a support vector machine (SVM) are used as pattern recognition methods for the identification tests.
Targeting such limitation, a new pattern recognition method – variable predictive model based class discriminate (VPMCD) is introduced into roller bearing fault identification.
In addition, in the design of the classifier, targeting the limitation of existing pattern recognition method, a new pattern recognition method-variable predictive model based class discriminate (VPMCD) is introduced into roller bearing fault identification.
Two novel optical interferometry diagnostics methods, wave pattern identification and correlation detection, were developed for measuring the adhesion strength between a film or coatings and substrate.
Table 5 displays the Bayer CFA pattern identification performance for the proposed method and conventional algorithm.
For a 256 × 256 image block, the average CFA pattern identification time of the proposed method was approximately 0.035 s.
The method of wave pattern identification was constructed on the analysis of the physical procedure of the film spallation.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com