The phrase "automatic processing and" is correct and usable in written English.
It can be used in contexts discussing cognitive psychology, computer science, or any field that involves the concept of automatic processing of information.
Example: "Automatic processing and decision-making are crucial components of human cognition, allowing us to perform tasks without conscious thought."
Alternatives: "automatic processing along with" or "automatic processing as well as".
Optical music recognition (OMR) refers to the automatic processing and analysis of images of musical notation.
Electronic The atlas is electronic (digital) to make its presentation, manipulation, enhancement, extension, automatic processing, and distribution easy.
The proposed segmentation methods provide a promising direction for automatic processing and analysis of PET brain images.
With the development of digital image processing technology, it has been applied to the fields requiring non-contact, high speed, automatic processing and large dynamic range [12, 13].
In order to obtain efficient solutions, in terms of both performance and cost, there is a need for automatic processing and analysis of imagery.
A specific set of guidelines defined by the publishers to submit molecular data even in a PDF format, would accelerate the automatic processing and recognition of chemical data for further computational studies related to reaction modeling [1 3], drug-discovery [4 7] and molecular inventory management [8, 9].
This route may bypass the primary visual cortex and is thought to be limited to a relatively coarse and automatic processing, especially of visual transient and highly salient visual features [11].
Only few studies examined age-related changes at the neural level of automatic processing of emotions, and the findings are inconsistent.
In relation to that, one could argue that this response during the neutral film might reflect a state of enhanced vigilance or automatic processing of visual and auditory stimuli.
Our surrounding provides a host of sensory input, which we cannot fully process without streamlining and automatic processing.
If the strategy is to first go through the data automatically and then let the user validate and correct the results, the automatic processing can employ more sophisticated and computationally expensive algorithms.
