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As under-sampling technique often leads to the loss of the potential information of the samples, in this study over-sampling technique was utilized to create artificial samples.
The accuracy of the method has been confirmed by measurement of artificial samples.
The artificial samples are created from these samples using a clustering approach.
Dissociation kinetics for the natural and artificial samples was studied at different heat fluxes.
We use artificial samples, mixtures of silica powder and polyethylene powder, for investigating the effect of silica-derived oxygen.
The additional orientations are the Lanczos interpolated data, following the scenario of adding "artificial" samples to the training data.
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Ulam's work at Los Alamos had begun with his development (in collaboration with von Neumann) of the Monte Carlo method, a technique for finding approximate solutions to problems by means of artificial sampling.
In particular, researchers have experimented with random (e.g., [26]), directed (e.g., [24, 26]), and artificial sampling [27].
The artificial sample is meant to represent the worst case scenario where the animal glue content is low and the gum Arabic content is high.
This procedure is sensitive since the CP gene fragment is amplified from an artificial sample consisting of one viruliferous nematode mixed with 3000 aviruliferous individuals.
With the help of the specially designed artificial sample slabs, experiments results obtained with the proposed method are provided and compared with that using the ANN classifier, demonstrating the effectiveness of the present strategy.
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