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Unlike the existing wavelet incident detection algorithm, where the wavelet technique is utilized to denoise data before the data is input into an algorithm, this paper presents a different approach in the application of the wavelet technique to incident detection.
The photoelectrochemical approach in the application of the glucose sensor was investigated.
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This demonstrates key limitations in the application of the guilt by association approach to disease gene identification.
Several limitations in the application of the Schwartz and Coull (2003) approach must be acknowledged.
A detailed description of the application of the mRT approach is provided in File S1.
The application of the generating series approach resulted, as expected, in a simpler system of equations.
That approach ensures consistency in the application of discipline.
Another interesting approach is the application of neurofeedback in PG.
These equations provided an entirely new approach to the application of probability theory in physics, chemistry, civil engineering, and biology.
This novel approach shows great potential in the application of function-driven discovery neuropeptidomics experiments.
Therefore, our data provide a novel approach that broadens the application of sorafenib in clinical therapies.
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