The phrase "automatically distinguished" is correct and usable in written English.
It can be used in contexts where something is identified or recognized without manual intervention or effort.
Example: "The software automatically distinguished between different user profiles based on their activity patterns."
Alternatives: "instantly recognized" or "automatically identified".
By including in the opaque URI a unique SHA1 hash of the textual content of an XML element, and simultaneously maintaining a link between the opaque URI and the transparent identifier, different expressions of a work can be automatically distinguished through time.
The system automatically distinguished the egg shell color first, then the egg fresh degree can be predicted.
The URLs encountered during a crawl are automatically distinguished by the fetcher component based on their network type (i.e., Surface Web, Tor, I2P, and Freenet URLs), and the respective traffic is forwarded to the responsible fetcher module, so as to proceed with downloading the content of the Web resource under consideration.
The first of these issues indicates a bug in JUMBO-Converters that could be relatively trivially identified and fixed while it is expected that the second issue should produce 1H NMR that could be automatically distinguished from a genuine NMR spectrum in a majority of cases, since false positives will rarely contain expected peak metadata such as integrals and multiplicities.
Measurements on this extraneous material can not be automatically distinguished from those on the nematodes, and thus could affect statistical analyses.
Here, we identified a set of cortical and subcortical regions that automatically distinguished between authentic and acted laughs, and showed that this pattern held whether the laughter conditions were coded according to the context in which they were produced Evoked vs. Emitted or the participants' post hoc evaluations of the laughs as "Real" or "Posed".
A support vector machine (SVM) was used to automatically distinguish sleep and wake.
Model from MIT's Computer Science and Artificial Intelligence Laboratory aims to automatically distinguish lymphoma subtypes.
We describe an algorithm to automatically distinguish trees from round metal poles with a sonar system packaged on a mobile robot.
We conclude that DCNN with fine-tuning is the best method for implementing a function for automatically distinguishing illustrations from photographs.
In this paper, we intend to present a novel framework for facial expression recognition to automatically distinguish the expressions with high accuracy.
