Sentence examples for recognition server from inspiring English sources

The files are routed through the hub to ScanMail's automated speech recognition server, a powerful computer trained to match thousands of verbal sounds to written words.

Since SMILES for a compound are not readily available in publications, the OSRA chemical optical image recognition server [29] was used to generate SMILES for each compound.

The prediction of protein secondary structure and intrinsic disorder in the deduced CsLEA11 protein was performed by the PHYRE2 protein fold recognition server (http://www.sbg.bio.ic.ac.uk/phyre2/html/page.cgi id=index).cgi id=index

The user simply takes a picture of an advertisement or product logo and a low resolution image is sent to the recognition server and an associated URL is returned.

The Homstrad database [76] was queried using the Fugue sequence-structure homology recognition server [18] (http://tardis.nibio.go.jp/fugue/prfsearch.html) using default settings to evaluate the FlbB orthologs for structural homologies.

To evaluate the structural similarities that were found in the experimentally characterized Anidu FlbB sequence in the remaining orthologs, each was evaluated for presence of a N-terminal bZip domain by searching the SMART database [30] and for C-terminal homology to the carboxy-terminal cysteine-rich domain of the Yap1 TF [17] using the Fugue sequence-structure homology recognition server [18].

Samsung clarified its privacy policy, but some of its smart TVs were found to transmit both voice data and the recognised text unencrypted across the internet, despite the company stating that all private data is encrypted when passed between the TV to the voice recognition servers.

This is recorded, and the speech clip is sent over the internet to Google's speech recognition servers.

The problem appears to be related to Alexa's voice recognition servers, as it's occurring across both native devices like an Echo and 3rd party devices running Alexa like the Sonos One.

Structure prediction was carried out using 3D-Jury [ 10], a fully automated protein structure meta prediction system that implements a number of fold recognition servers.

Moreover, fold recognition servers, e.g., FFAS, predict the TPK catalytic domain being a good template for the COG1634 subunit fold; they also suggest even higher-scoring hits to the structures of bacterial GST-II-like sialyltransferases (Supplemental Figure 1).