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The adapted model shows better whisper recognition results than the neutral model.
The current UMC2013 model showed better performance than the previous model of Iwata et al. (2008).
Hence, our model showed better performance in the large field optimization.
Receptor based MFA model showed better results when compared with least squares and pharmacophore based models.
The NRTL-DVIS model shows better accuracy than other models proposed in the literature.
Furthermore, the Stefan model shows better agreement with the experimental results than the Single-phase model.
In the MBPPSA model, vegetables with higher k values (the constant of the model) showed better potential in methane production.
It is noted that the P2D-based model showed better execution time than the SPD-based model.
The proposed GP technique based on this simplified model showed better results as compared to other GP techniques.
What's more, the model shows better ability in recovering long-distance dependencies compared with common neural network models.
The results suggested that the Yoon-Nelson model showed better agreement with the breakthrough curves than other models.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com