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It is not clear whether adverbialist approaches can successfully tie the appropriate manners corresponding to different qualities with the right pains or tissue damage on different locations.
We demonstrate how the interplay of several modern kernel-based machine learning approaches can successfully improve ligand-based virtual screening results.
The results demonstrate that both approaches can successfully detect and isolate faults associated with the sensors, actuators (servo-valves and piping) and the pneumatic cylinder itself.
Current rule extraction approaches can successfully deal with problems with discrete-valued inputs but are less efficient when dealing with problems with continuous-valued inputs.
Comparisons of the prediction results by the two ANN approaches and those from the wind tunnel test are made to examine the performance of the two ANN models, which demonstrates that the two ANN approaches can successfully predict the pressures on the entire surfaces of the large roof on the basis of wind tunnel pressure measurements from a certain number of pressure taps.
Results show that three approaches can successfully detect and isolate faults respectively despite of the existence of environmental noise, FDI time delay and fault sensitivity of different algorithms are different, meanwhile, compared with EKF and STF, CKF method has best performing FDI of sensor faults for ECAS system.
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It is shown that the proposed approach can successfully capture the material failure during cyclic loadings.
Our new approach can successfully identify many hitherto unknown GSs and energetically highly competitive metastable structures.
The results clearly show that the proposed adaptive approach can successfully prevent miscoordination problems.
The results show that our automated approach can successfully detect service design problems.
Results suggest that this approach can successfully capture field-scale, as well as column-scale, behavior.
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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