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In all, this method achieves a parsimonious way to determine groundwater storage fluctuations over time with formal confidence bounds.
With 100 radiofrequency ultrasound images, the method achieves a point reconstruction error of 0.09 ± 0.39 mm.
Simulation results show that the proposed method achieves a better performance in autonomous station-keeping.
Experimental results demonstrate that the proposed method achieves a large image compression ratio and ensures imaging quality.
The results also indicate that the IPC-based indexing vocabulary selection method achieves a higher accuracy and is more satisfactory.
Their method achieves a mean RS value of 0.61 comparing S2 values calculated from X-ray structures against experimental S2 values for 5 proteins and a mean of 0.67 for comparisons with NMR structures on the same set.
Results: The proposed method achieves a spatial resolution of 1.8 mm and a temporal resolution of 18 ms for 2D real-time PC-CMR with one directional flow encoding.
One of the reasons for this success is that the LL method achieves a convenient trade-off between numerical stability and computational cost.
Under optimized conditions, this method achieves a selective response for ATP with a detection limit of 93 nM, and exhibits a good detection performance in biological samples.
Experimental results on the INRIA and SDL human datasets show that the proposed method achieves a higher performance and speed than the state-of-the-art methods.
Tested with all the 48 recordings from the MIT/BIH arrhythmia database, the proposed method achieves a classification accuracy of 98.21%, which is comparable to the existing results.
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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