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Both methods are proven effective in dealing with the single-objective inverse problem.
Although secondary methods are proven to be effective, treatments inside the gasifier are gaining much attention as these may eliminate the need for downstream cleanup.
The advantage for Google is that its methods are proven, and advertisers keep coming back.
Since in Section 4.2.2, trajectory-based methods are proven not to generalize well when temporal smoothness does not hold, the results of PTA and CSF2 are not included.
Surprisingly, the BLUEs of the three considered methods are proven rigorously to be identical to each other if an appropriate preprocessing step is used.
Although the presented feature extraction methods are proven to be reliable and comparable with the methods in the literature, the performance of lane deviation detection and collision time estimation modules will effect the result of the aggressiveness classification.
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These methods are proving helpful.
Through the comparison with test data, these methods are proved to be suitable for structural design.
Traditional statistical and computational methods are proving insufficient for analysis of these high-throughput data due to their ultrahigh dimensionality and complex structure.
Thus, the meshless methods are proved to be a promising scheme for predicting photonic band gaps.
Strong convergence theorems for the proposed iterative methods are proved.
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