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Neural engineering, also called neuroengineering, in biomedicine, discipline in which engineering technologies and mathematical and computational methods are combined with techniques in neuroscience and biology.
Functionally, two methods are combined in the proposed scheme.
Also, the gradient and volume methods are combined.
The aforementioned evolutionary methods are combined in a parallel architecture.
In order to take full advantage of each method, some of these methods are combined.
First, detection results obtained by the two methods are combined as shown in Fig. 3.
These methods are combined to provide field-proven self-adaptive PID gain scheduling.
Action Research (AR and Design Science Research DSRSR) methods are combined to adopt an integrated approach.
These two methods are combined to acquire benefits from both approaches and attain better accuracy.
Fuzzy reasoning and basic statistical methods are combined to interpret the model residuals and faults.
Numerical analysis and optimisation methods are combined for application-oriented texture optimisation.
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