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Cremonesi et al. [39] proposes a method based on clustering to estimate the service time.
For this, RILEM TC 162-TDF proposes a method based on a simple three-point flexural test.
To solve this problem practically, this paper proposes a method based on Fourier series expansion.
This paper proposes a method based on complex networks analysis, devised to perform clustering on multidimensional datasets.
Thus, the current study proposes a method based on weighted invariant pixels for both processes.
This paper proposes a method based on single channel independent component analysis for single and multiple power quality disturbance classification.
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In particular, we propose a method based on the gradient direction variance and a wavelet-based method which adapts the procedure of [14] to videokeratoscopic images.
Goljan and Fridrich [10] proposed a method based on DCT.
Brug proposed a method based on calculation of the correlation between two images [9].
Osareh [8] proposed a method based on template matching for localizing the center of optic disc.
Artigas et al.[38] have proposed a method based on depth maps.
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