Sentence examples for backend processing from inspiring English sources

It requires only conventional backend processing like PECVD oxide and PVD metallization.

As visual analytics increase in data and interaction complexity, many new anomalies arise due to latency and variance of both backend processing and frontend rendering.

This work presents the electrical characterization of flexural microresonators made of hydrogenated amorphous silicon fabricated on glass substrates at temperatures compatible with CMOS backend processing (175 °C).

The results showed that the classical three tiers of IS platforms, i.e. backend, processing, and frontend, can be used as an overarching distribution to devise corresponding KMA tiers related to managing knowledge resources, knowledge creation, and knowledge application respectively.

It is written entirely in JavaScript and runs in the browser, meaning no backend processing is required.

ADAM focuses on backend processing, and hence, user-facing applications need to be implemented as, for example, Scala or Python scripts.

Exposing functionalities through a web application programming interface allows to hide the implementation details of both data storage (different database types vs. memory vs. file system backend) and processing (descriptor calculation algorithms using CDK, OpenBabel, commercial or in-house implementations).

A second wireless interface would be used to communicate data from the point-of-sale terminal to the actual payment processing backend online.

To adapt to the current economic climate without adversely affecting the quality of programs for weed management, we present a hierarchical system that uses images captured using a smartphone application, a backend image processing algorithm, and two levels of crowdsourcing to identify weed images.

Mint had the luxury of relying on Yodlee to handle much of its backend financial processing, whereas Cake Health is going to have to build out that infrastructure itself.

To minimize the amount of supervision time, we envision a backend image processing system that is capable of automatically analyzing most of the data offline, stopping only at frames that suffer high noise levels and queuing those up for human intervention at a later time.