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These results show that our proposed approach performs the heuristic search efficiently by using small populations.
As expected, the SVM-based fusion approach performs the best compared with the local and global verification.
Regarding the unimodal or low multimodal test functions (F1 F6), the results indicate that the static parameter setting approach performs the best.
Overall, the Eaton [31] approach performs the best; however, there are certain instances where Eaton [31] performed worse than the handpicked, average, and baseline methods.
Therefore, our new approach performs the spatial WENO reconstruction twice: the first WENO reconstruction is carried out on the known cell averages of the conservative variables.
Moreover, the proposed PnP approach performs the unplugging of faulty subsystems in order to avoid the propagation of faults in the interconnected LSS.
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Both models adopt a flow-driven analysis approach, performing the analysis for multiple flow regimes.
PS ideated the approach, performed the surgery, took care of the patients, collected the data, and wrote the manuscript.
The Glorot [41] approach performed the best with the Blitzer [5], Li [63], and Pan [83] methods all having similar performance and all outperforming the baseline approach.
By the approach performed, the alternative transcripts analysed revealed a distinct level of expression amongst tissues.
JK implemented the model and approach, performed the analysis, and drafted the manuscript.
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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