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Failure due to coupled and complex design occurred in all databases at rates of 10 40%.
We explicitly created appropriate indexes for all databases during the experimental study.
However, this interpretation is not suitable for all databases based on experimental data.
Secondly, most of the fusion methods reduced the PRSIA for all databases used.
It can be observed that, in all databases, the identification rate is higher than 92 %.
All databases within the Thomas Reuters Web of Science were searched.
In all databases, the filters of human, English article, and dental journals were applied.
This is high for MOLs, SMILES notations and InChI strings in all databases.
The LNBNN accuracy is slightly lower than other classifiers on all databases.
Table 1 shows all databases considered in this research.
Patients are identified in all databases by the unique national ID number.
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CEO of Professional Science Editing for Scientists @ prosciediting.com