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Supplemental information describing REVI, obtained from fine resolution satellite imagery, significantly improved the models but this information was of secondary importance to use of GIS layers.
The combination of ALS and Landsat 8 OLI data further improved the models obtained in comparison with either of these sensors separately.
Similar to the previous validation stage, the models performance for storm E is better than for storm F. Using the genetic algorithm has improved the models capability just for storm F compared with the nonlinear mathematical optimization method.
A comparison of the RP data-based mode choice model with the mode choice models including a latent variable showed that the inclusion of behavioural factors (especially habit formation) significantly improved the models.
Starting from early studies based on a simply supported beam interacting with a lumped mass moving at constant speed, in recent years researchers have improved the models of both the bridge and the vehicle.
Interestingly, the addition of the individual covariate describing the intensity of use of AFS greatly improved the models without this factor (models 7 12, Table 1).
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This approach significantly improved the model predictions.
The authors Fridman and Shaked improved the model [21].
Including a quadratic growth factor improved the model fit.
Moeckel and Donnelly's approach noteworthy improved the model results.
The process was continued until no additional SNP improved the model at the p<0.05 threshold.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com