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We show that the duration of the pseudo-state depends on the physical and chemical parameters of the system, and can be exploited to extract information about the fractured rock system, such as the fracture spacing and fracture-matrix interface area.
We will review the different processes at work and evaluate if some of the transient phenomena taking place during the fast thermalization phase of hot electron-hole pairs produced by the conversion of the 511 KeV gamma rays can be exploited to extract a sub-100ps time tag.
As recently reviewed by Blondel et al. [2], the Call Detail Records (CDRs), needed by the mobile phone operators for billing purposes, can be exploited to extract mobility patterns [3 5], to model social interactions [6, 7], city's structures [8], and epidemic spreading [9, 10], to estimate population densities [11], and to predict socio-economic indicators and outcomes of territories [12, 13].
Applying it to two-component protein databases, we demonstrated that sequence information could be exploited to extract residue-residue contacts across the interface of the interaction partners.
Given current developments in the automatic processing of natural language, these tools could potentially be exploited to extract data for epidemiological purposes [ 14, 20- 24].
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A simple model was exploited to extract the tensile mechanical properties from the lateral force displacement data.
Singular value decomposition (SVD) is exploited to extract meaningful perceptual-related information from images (or video frames).
In this paper, such properties of the SI-K-SVD are exploited to extract the latent constituent components of complex signals and use them to represent signals sparsely, thus suppressing background noise and revealing the true vibration patterns.
In the signal processing module, the recursive least square (RLS) algorithm and the Kalman filter are exploited to extract the order amplitudes of vibration signals, followed by fault classification using the fuzzy state inference module.
The R-CNN is exploited to extract the most "iconic" local region from each facial image, where the spatial context (geometrical interrelation) of the extracted local regions can be also accounted for robust classification.
We show how our method can be exploited to quickly extract the so-called outer hull even if the resulting model is non manifold by design and the single parts have boundaries, as long as the outer hull itself is unambiguously definable.
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