The phrase "automation of processing" is correct and usable in written English.
It can be used when discussing the use of technology to perform tasks or operations without human intervention, particularly in contexts related to business, manufacturing, or data management.
Example: "The automation of processing has significantly increased our efficiency and reduced operational costs."
Alternatives: "automated processing" or "process automation".
The key requirements of a reconstruction technique for this purpose are automation of processing and sub-voxel accuracy.
While endotoxin and dust levels are only moderately correlated in cotton mills (r = 0.49, p < 0.01) [ 90], measures to control workers' exposure to dust, such as improved ventilation and automation of processing, are likely to have resulted in lower cumulative dust and endotoxin exposures in more recent cohorts.
These advances include the use of real-time measurements, isothermal amplification, the inclusion of internal quality assurance protocols, device miniaturization and the automation of specimen processing.
Therefore, it is important to minimize technical sources of variation with rigorous attention to detail in the standardization of processing pipelines, including automation and consideration of the use of microfluidics approaches which have the additional advantage of reduced reaction volumes (19).
Technology has enabled faster loan production through automation, ease of processing, and analytics.
This latter observation is consistent with the notion that slow EEG shifts reflect the amount of controlled processing invested to support task-specific regional activations [34], [36], [38], [47] and verifies the automation of NRT processing with practice.
The automation of the processing was made feasible by respective software that was developed in Java.
And while the automation of data processing falls squarely within the CIO's duties, the why and the what of data collection, usage, and disposition are largely the responsibilities of business departments.
In this case study, the automation of data processing and geoprocessing of projects data was complicated by a myriad of data quality issues; including missing data, inaccurate data, asymmetric data granularity, and semantic interoperability issues.
Other attempts of automation of post-processing have been made.
Furthermore, parallel processing and automation of chemical processes is a viable solution that allows for a higher level functionality on-chip with fewer handling steps and associated errors and costs.
