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Although constructed intelligent models exhibit good accuracy for prediction of ILs viscosity, CMIS method shows better performance compared to other approaches.
The theoretical and numerical models exhibit good agreement and show the potential of this novel ZPR configuration for morphing sandwich panel cores.
The results obtained using both proposed fusion models exhibit good performance in terms of robustness to signal degradation, as well as a good behavior in terms of the dependence of signal quality on the number of signals fused.
It is shown that the results obtained from the three models exhibit good agreements between the measured and predicted results for times up to 100 h at 1100 °C, but discrepancies were noted at longer oxidation times.
The obtained models exhibit good predictive capability in both internal and external validations (q2 = 0.73, rpred2 =" 0.94 for 6, 6-dimethyl pyrrolo [3,4-c]pyrazoles analogs, q2 = 0.62, rpred2 =" 0.63 for imidazole pyrimidine amides analogs and q2 = 0.56, rpred2 =" 0.58 for 4- pyrazol-4-yl -pyrimidines analogs).
It is clear that all three measurement models exhibit good levels of fit to the data – especially in terms of the values associated with the RMSEA, CFI, and SRMR.
Similar(54)
Developed models exhibited good predictability for formulation characteristics as indicated by squared correlation coefficients (>0.9).
Both the models exhibited good correlation between the calculated 3D-QSAR fields and the observed biological activity for the respective training set compounds.
Each of the multivariable regression models exhibited good discrimination: the Cstatistics were all greater than 0.72.
The HAI and FTR models exhibited good to very good discrimination (C statistic ranging from 0.75 to 0.87), and acceptable calibration (HL statistic ranging from 7.5 to 37).
The models exhibited good performance characteristics for men and women, suggesting that the models are likely to aid the clinical management of patients concerned about their risk of melanoma.
More suggestions(15)
models present good
models exhibit saturated/non-trivial
models indicate good
models provide good
models have good
models exhibit large
models exhibit strong
models assess good
models exhibit bell-shaped
models exhibit lateral
models exhibit normalized
models reveal good
models exhibit slow
models exhibit multiple
models exhibit noticeable
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