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MANY people adhere to the benchmark method of assessing restaurants.
Firstly, we adopt an integrated bandwidth prediction approach to calculate the available bandwidth, solving the low bandwidth utilization problem existing in the benchmark method.
The benchmark method of measuring shotcrete thickness from 3D LiDAR and photogrammetry data involves scanning sequential blast rounds, aligning the data in a 3D environment, and calculating the spatial difference between the two models.
Therefore, the proposed TBD algorithm outperforms the benchmark method in terms of estimation accuracy.
It is possible to note that the edges recovered by DDFU are sharper than those recovered by the benchmark method.
For the benchmark method, Figures 11 and 12 illustrate the RMSE of the normalized bistatic delay and Doppler, respectively.
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The benchmark methods used here are widely used for classification.
Our method gave substantially better performance than all the benchmark methods (67.3% correctly predicted vs. 20.0% for DT, 14.5% for SVM, 14.3% for LR, Fig. 2a).
The benchmark methods used were logistic regression (LR, used for ADR prediction in11), decision trees (DT, as used in13) and support vector machines (SVM, as used in19).
The benchmark methods are particle swarm optimization (PSO) and genetic algorithm (GA).
The ISO method and the method in Chinese standard have been used as the benchmark methods for the verification.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com