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The most important difference between a discrete and a continuous approach is the method of measuring a vibration pattern.
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This observation suggests that dimensionality reduction may be a natural extension to the clustering method described above, and thereby provide a continuous approach to estimate densities of high-dimensional data from small samples.
The first model is developed using a continuous approach and compared with a discrete model for accuracy via simulation.
The present study uses a continuous approach and provides such a new perspective to the negative effects of night work load as a possible risk factor for undesirable health effects.
A continuous approach to conceptualisation and measurement is preferable.
A continuous approach, however, provides more accurate results and reduces the data preparing effort.
In a continuous approach, the discussed function is denoted as dn/dξ and can be obtained by considering the small number of synchronized proteins evolving with age and the age-dependent node degree.
It is modeled through a continuous approach thanks to a neural network.
A continuous approach developed based on the optimized results of sequential effects.
The quantity ϕ 1 is an auxiliary variable which allows integrating descriptor matching into a continuous approach.
The proposed model, which is based on a continuous approach, is compared for accuracy, via simulation, with discrete model.
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CEO of Professional Science Editing for Scientists @ prosciediting.com