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In Great Britain, development of a set of procedures utilizing automatic elements, known as the Oxford System, was begun.
Özgür et al. [ 24] had proposed an automatic method that utilized automatic literature mining and network analysis to extract known and infer unknown gene-disease association.
It utilizes automatic indexing algorithm and interactive visualization interfaces to establish the concepts and questions associations.
Research shows that customers who utilize automatic deposits and payments are far less likely to switch accounts.
Most calibration methods rely on manual or semi-automatic interactive procedures, but reliable fully automatic methods are still missing.
Both methods highlight relationships between documents and motivate the automatic techniques of Chapter 5. Chapter 5, thus, demonstrates automatic methods for identifying the relationships depicted in the visualizations.
In automatic methods, human-computer interactions are not involved.
In addition, the manual and automatic methods were compared.
By introducing human-computer interactions, semi-automatic methods can balance quality and cost more flexibility than fully automatic methods.
Automatic methods to detect encrypted regions are also proposed.
Intensities were quantified using QuantArray software utilizing automatic background subtraction for each spot.
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