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Here, we describe an important mechanism by which cellular networks implement pattern regulation and plasticity: bioelectricity.
In order to implement pattern recognition of sEMG signals for various hand movements, two intelligent classifiers, namely artificial neural network (ANN) and fuzzy inference system (FIS), were utilized.
The machine learning algorithms that implement pattern classification are known as classifiers.
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The implemented pattern consisting of V-grooves with linearly increasing depth of the slope of 3.2° has proved good possibility.
The results have shown that the suggested approach can be applied to the design of condition monitoring systems of gearbox monitoring without the need for implementing pattern recognition tools during the design phase; where the pattern recognition can be implemented as part of decision making for diagnostics.
Design operators can implement design patterns for use at runtime.
Bridging patterns extend interaction design patterns by adding information on how to generally implement this pattern.
A microcontroller is used to implement the pattern recognition.
In general, we observed two dominant factors impacting the pattern composability with AOP: (i) the category of the pattern composition, and (ii) the AspectJ idioms used to implement the design patterns taking part in the composition.
The upgraded CMS muon trigger system implements pattern recognition and MVA (Boosted Decision Tree) regression techniques in the trigger boards for muon pT assignment, drastically reducing the trigger rate and improving the trigger efficiency.
To evaluate our pattern approach, we have implemented executable pattern instances, in a rule-based reasoning system, and used them to design and verify wireless SDN networks with respect to availability and confidentiality.
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