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Experiments were performed simultaneously for open sun, natural and forced convection modes to validate the thermal modeling and compare drying kinetic results.
We explore the potential contributions of the post-fire Landsat bands, image differencing, image ratioing to fire severity modeling and compare with the widely used NBR and dNBR.
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We present results for both the models and compare.
In the subsequent section we describe the baseline models, and compare their performances.
Then, we analyze the data using regression models, and compare the fits via residual plots.
We have trained three corresponding sentiment models and compare their performance on the same testing set.
We detail properties of our intercausal cancellation model, and compare it against existing causal interaction models.
In this paper, we exploit the concept of the SDGN model and compare its performance with the SIGN model.
We also take a simple theoretical model and compare the results with theory.
Here, we present the absorption spectra calculated using the five-level BAC and LCINS model and compare them with experiments.
Mirjalili and Alidoosti [8] present a survey about Web Pentest, discuss models, and compare vulnerability scanning tools.
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