Sentence examples for enhances computational resources from inspiring English sources

Assignment of items to a player by traversing them from the highest priority to the lowest one enhances computational resources.

The 3D protein structure similarity searching is a computationally complex and time-consuming process that requires enhanced computational resources.

Our ability to explore more detailed species-specific historical scenarios should be enhanced as simulation techniques, computational resources, and our understanding of organismal habitat requirements improve in the future [63].

iSVP is broadly applicable to high-coverage whole genome sequencing data with reasonable computational resources, which will enhance the genome-wide detection of SVs for the identification of disease-causing variants.

The computational resources were provided by Computer and Networking Center, National Taiwan University.

3. Multi-touch requires computational resources better used on predictive computing efforts, like predictive word typing algorithms.

There has been increased prevalence in the use of computational fluid dynamics (CFD) for the assessment and planning of the urban environment in recent years, spurred not only by the decreasing costs of computational resources, but also by increasing demand for enhanced living conditions, especially in densely populated and land-scarce places like Singapore.

Cloud computing can reduce power consumption by using virtualized computational resources to provision an application's computational resources on demand.

This method enhances the quality of the predictions, but it is very demanding in terms of time and computational resources needed.

It reduces the amount of computational resources required by traditional method like the adaptive histogram equalization, but allows enhancing detail similar to the latter technique.

Altogether, the emerging multi-omics era promises a collection of high throughput, multidimensional quality data and computational resources from which new knowledge and hypotheses can be generated and validated to enhance the understanding of signaling events and roadmaps critical for cancer development and progression.