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Bits were assigned to each database.
Different types of data are available in each database.
Table 1 gives a brief description of each database.
The ranges of cumulative values for each database are calculated.
We annotate these face components for each database image.
Some additional details of each database are given next.
Each database entry is tagged with the contributor's details.
For each database configuration scenario, upward and downward models were developed separately.
Initial results are explained, indicating the relevance of each database and quantifying the overlap among them.
The proposed equations were obtained by performing both linear and non-linear regression analysis on each database.
Each database is sharded and all of the inserted entities in each database are load balanced across all 5 database shards without replication.
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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