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The performance of the proposed solution algorithm is illustrated through numerical examples for identification of underground electric conductivity changes from time-lapse electromagnetic observations.
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We then explicate the dual relationship between sparse functional identification and decoding and provide examples for the identification of low-rank temporal DSP kernels of complex cells.
In Figures 5 and 6, we show working examples of identification delay for both the sequential operation of readers and parallel operation of readers utilizing the BLSync protocol.
Finally, different simulation examples are presented for identification and control of uncertain nonlinear systems to illustrate the utility of our proposed identification method for robust fuzzy control.
For example, representative chromatograms used for identification and quantification of nucleosides are given in Figures 1A and B showing the separation and resolution of nucleosides by using the chromatographic conditions described.
New standards were adopted, for example, for eyewitness identification, creating, according to Lake, a "much more reliable process".
An application example for the identification of environmentally assisted cracking mechanisms in petroleum refineries is presented.
The subtracted information is then free to be reassigned and used otherwise in perception, for example, for phoneme identification.
A large-scale case study example for the identification of an industrial low-density polyethylene (LDPE) reactor model is presented.
In another example, for the identification of host regulators for HIV replication mentioned as above, overlaps were very limited among the three studies described (Table 1).
Mobile signatures are used, for example, for user identification and authentication, the message authentication, non-repudiation of transactions and verifying the information integrity.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com