Sentence examples for computational processing from inspiring English sources

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It seems the individual and collective advances in big data, computational processing techniques, cloud computing, and data storage is advancing the machine learning capabilities.

These additions significantly increased the number of computation steps, and we therefore accelerated the computations involving huge sparse matrixes to reduce the computational processing time.

Developers preparing a gold standard may choose from several approaches that do not require computational processing of data (Fig. 1e, f).

The genomic data generated from next-generation sequencing machines doesn't amount to much more than alphabet soup if it's not subjected to significant computational processing and statistical analysis.

An alternative technology likewise requires minimal or no computational inference, allowing the tools to avoid biases introduced during computational processing of data.

His expertise in computational processing methods, including a Bayesian formula for classification of the ultrasonic sounds of mammals, would eventually be a powerful analytical tool for QuBit, one of London's flourishing big-data startups.

However, the computational processing of the data for label-free quantification still remains a challenge.

It still seems possible to imagine a machine that engages in such computational processing without having any conscious experiences at all.

The Methods section in Data Descriptors should describe any steps or procedures used in producing the data, including full descriptions of the experimental design, data acquisition assays, and any computational processing (e.g. normalization, image feature extraction).

For Data Descriptors, the Methods section should describe any steps or procedures used in producing the data, including full descriptions of the experimental design, data acquisition assays, and any computational processing (e.g. normalization, image feature extraction).

The algorithm is shown to be stable and it requires low computational processing, making it amenable for implementation on limited hardware platforms.

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