Sentence examples for individual data processing from inspiring English sources

In collaborative heterogeneous networks each node can act as individual data processing units which can use each other׳s processing power in collaboration to achieve a desired compute intensive or common goal.

This indexing PCR procedure allowed us to identify and sort read sequences by individuals during data processing.

The Internet had leveled the playing field and allowed individual access to sophisticated data processing services that were once the sole province of enterprise customers.

Individual steps in this data processing approach are reviewed here [ 54].

Processing individual data in an epidemiological framework, i.e. at levels of the population and subpopulations, is a key feature to the use of HBM data; this holds for descriptive analyses as well as for health risk assessments and aetiologic hypothesis testing for associations between environmental exposures and disease outcomes.

During data processing individual images were cropped to a region consisting of 36 × 36 pixels, and 2 × 2 pixel binning performed to yield a final image of 18 × 18 pixels (1.54 μm effective pixel size), with adequate spectral signal-to-noise within each pixel.

Perhaps alexithymia, as a phenomenon of having difficulty expressing feelings, is closer to an outcome function of a process starting with self-reflection as a perception of one's internal states, continuing with insight as a quality of cognitive data processing, supporting the individual's reasoning processes over causes and effects of their illness.

Our first evaluation (using AUPRC) shows that URSA improves performance over individual SVMs across all three data processing methods: MAS5.0 (Fig. 2b), fRMA and Barcode (Supplementary Fig. S4).

The ECs in Iceland forward a list of all applications to the Data Protection Authority for review, and in some cases, further approval of research pertaining to protection of individual privacy and security of data processing.

Even though all user queries are not related to sensitive topics, this automated data processing about individuals raises a serious privacy issue, as users cannot control the use of their personal data and have no right to be forgotten.

Parameters of the learning algorithm were optimally adjusted in the individual data sets in a pre-processing step, and subsequently were held constant for all following runs.