Sentence examples for capabilities of general from inspiring English sources

The enabling factors include the performance, scalability, and price factor of today's merchant silicon to implement high-speed forwarding devices combined with the processing capabilities of general purpose multi-core server technology.

The device here described is competitive with similar hardware solutions described in literature and outperforms the elaboration capabilities of general-purpose processors.

By contrast Plato found little of value in public opinion, since he believed that society should be governed by philosopher-kings whose wisdom far exceeded the knowledge and intellectual capabilities of the general population.

Thus, the model's capabilities of handling general boundary conditions extend the simulators' usefulness in the field system.

In order to demonstrate the capabilities of the general framework, first the individual transport models will be explained in the next subsections.

An important feature of the methodology is it does not rely on customized user-subroutines but solely on the analysis capabilities of the general purpose software Abaqus; thus ensuring that the numerical results can be universally reproduced.

Smart sampling is used to consolidate various sources of product/process uncertainties by deploying the effect-ranking capabilities of the general-regression neural networks.

The combination of the two stages results in a mixed-precision algorithm, that exploits the capabilities of both general-purpose CPUs and many-core GPUs and overlaps critical computations.

The algorithms for fractal image compression impose a heavy demand on the processor's arithmetic unit and the memory interface, failing to utilize the full capabilities of a general-purpose processor.

Those capabilities of the general-purpose PC will be replaced by the Internet itself thus making the appliances more flexible, more portable, and less expensive.

In this way, the data from some weather stations in the Basque Country and Valencia region (Spain) were used for training the neuro-fuzzy models [in humid and non-humid regions, respectively] and subsequently, the data from these regions were pooled to evaluate the generalization capability of a general neuro-fuzzy model in humid and non-humid regions.