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In this context, we say that the proposed method is semi automatic in nature.
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The method is semi-automated and has a computer-controlled data collection and storage process.
The method is semi-analytical in nature and can be adapted easily to consider other non-linear constraints in the design of gradient coils or similar systems.
The method is semi-rigorous in nature, providing an initial design that is very close to the results of rigorous simulation.
The method is semi-implicit, requires no explicit parametrization, and yields a linear system of elliptic PDE to solve at each time step.
The survey method is semi-experimental and the population consists of 1666 preschool's new learners in district 3 in academic year of 2011-12 that using available groups sampling method, 50 persons were chosen as sample.
The survey method is semi-experimental and the population includes all elementary school male students with dyslexia in Aligudarz city in academic year of 1390-91 this this population consists of 65 persons and they were selected via available groups sampling method that they were 40.
The proposed characterization method is semi-automatic, meaning that a few parameters should be set before running the algorithm to extract individual brushstrokes.
The proposed method is semi-supervised since it not only uses the supervised relevance feedback information but also exploits the unlabeled data.
The method is semi-quantitative, and requires little sample preparation.
The current method is semi-automatic because the circumferential boundaries of a FC were defined manually by the analysts.
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