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Both simulated data and Raman spectra have been used to evaluate the proposed method.
The comparison was done with both simulated data and data from transmission experiments that were previously done at RPI.
Once the ANN model is designed, it is subjected to test with both simulated data and experimental validation.
The superiority of the proposed CSF over the MED filter is validated by both simulated data and experimental data.
We validate our approach using both simulated data and experimental resolution measurements of a USAF 1951 resolution target; and demonstrate the utility for biological applications with in vivo volumetric calcium imaging of larval zebrafish brain.
Using both simulated data and microarray data, we demonstrate that our method does not incur performance loss in regions of high-precision and low-recall, while the computational time is significantly lowered.
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Figures 6 and 7 compare empirical hazard rates to simulated hazard rates and Table 19 presents main summary statistics for both the simulated data and the raw data.
The algorithm was tested both on simulated data and experimentally.
We apply the method both to simulated data and to two real data sets.
We show experimental evidence of the efficacy of the approach both on simulated data and on real data about the diagnosis of the Attention Deficit Hyperactivity Disorder (ADHD).
In both the simulated data and experimental data, variation attributable to batch effects before and after batch adjustment were identified using principal variation component analysis (PVCA)[10], [20].
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