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Open image in new window Fig. 5 Diagram showing Chadha's classification of surface water.
Medical applications include the classification of surface electromyographic signals in [80], and the analysis of brain rhythms in electroencephalograms [91].
The algorithm implemented in the industrial application and which permits the segmentation and classification of surface defects is briefly described.
For classification of surface and sub-surface defects, He, et al [19] used amplitudes of a few harmonics generated by using FFT.
There are a variety of available remote sensing applications for the identification, measurement, and classification of surface defects and thus, also to provide estimations of road roughness.
Already now the visual algal bloom observations by experts are used as supporting information for the Water Framework Directive (WFD) ecological classification of surface waters.
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Although various classifications of surface chemistry are available, the most common practice is to characterize surfaces as hydrophilic or hydrophobic.
Due to the classification system of surface waters in Switzerland, it became obvious that exceedances of the RAC value occurred in small to medium surface waters.
For the purpose of successfully developing a prosthetic control system, many attempts have been made to improve the classification accuracy of surface electromyographic (SEMG) signals.
When using the RWPE method, the highest mean classification accuracy of surface electromyographic (SEMG) signals was achieved by the Symlet wavelet as compared with other wavelets [ 9].
The ISO 8608 norm, dealing with the classification of road surface profiles, is based on a comparison of the measured, single-sided PSD and eight categories labelled from A to H, defined by a range of artificial PSD.
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