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The confocal microscopy provides higher resolution detection compared to the traditional microscopy, and has been applied to detecting SSD in ceramics [15, 82], optical parts [83] and semiconductor materials [5].
This sensing strategy has effectively been applied to detecting bioanalytes including proteins, bacteria, and mammalian cells, even in biological matrices.
Two machine learning methods: SVM [ 7] and random forest [ 8] have also been applied to detecting epistatic interactions.
This technique has been applied to detecting differences between normal and cancerous tissues in eukaryotes as well as genomic variability in microbial strains and species.
OCT has been shown to detect atheromatous plaques in the large arteries (experimental 10– 12 human 12– 17) and postmortem thrombosis, 18 but has not yet been applied to detecting thrombosis in acute coronary syndromes in vivo.
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Some data streaming algorithms have been applied to detect superspreaders.
This method has been applied to detect outliers (Chapman 2005).
Acoustic emission has been applied to detect the instant of rupture of armor wires.
It is already known that the discrete wavelet transform has been applied to detect local singularities of signals.
Several methods have been applied to detect AS events.
Wastewater analysis has also been applied to detect transnational differences in illicit drug use.
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