Sentence examples similar to widely used capabilities from inspiring English sources

One of the main mismatches evidenced by recent works is how context-awareness, a widely used capability in ubiquitous computing and actual information systems with relational databases may be integrated to allow ubiquitous and traditional systems to query relational data sources without the necessity to modify the schema of the database.

Although ROCs curves are widely used, their capability of evaluating the performance of a given method is practically reduced to a single scalar value defined as the Area under the Curve (AUC).

But these technologies aren't that widely used and their capabilities could be greatly expanded.

The literature cited here reveals that the DMAIC approach is widely used for process capability improvements across the manufacturing sector.

FBA is widely used to explore the capabilities of genome-scale networks (for a review, see [ 33]).

Flux Balance Analysis (FBA) of Genome Scale Metabolic Reaction Networks (GSMN) has been widely used to predict metabolic capabilities of microbial strains, metabolic engineering of overproducing strains, prediction of essential genes and integration of high throughput data with the literature knowledge on metabolic reactions [ 53- 55].

To date, Artificial Intelligence approaches are widely used due to their capability in solving the non-linear and complex structure of data.

In assessing the performance of normal stable manufacturing processes with one-sided specification limits, process capability indices CPU and CPL have been widely used to measure the process capability.

The document reveals that the agency has capabilities against widely used online protocols, such as HTTPS, voice-over-IP and Secure Sockets Layer (SSL), used to protect online shopping and banking.

Hindered amine stabilizers (HAS) are widely used radical scavengers having multifunctional capabilities for scavenging radicals.

Such chips are ideally suited for running deep learning applications and are widely used by companies to produce AI capabilities such as understanding spoken language and observing road conditions by self-driving cars.