Sentence examples for datasets speed from inspiring English sources

Nevertheless, many practical issues remain concerning the precision of the system, accuracy, and resolution of the datasets, speed of acquisition and time required for post-processing.

In deciding upon an aligner it is important to consider the alignment quality, ability to align large datasets, speed, dependence on a specific database, cost, and openness of the algorithm.

We performed a functional analysis of the subtype signatures using Signaling Pathway Enrichment using Experimental Datasets (SPEED) [ 45], and enrichment analyses on the Molecular Signatures Database (MSigDB) [ 46], and KEGG [ 39] and Pathway Interaction Database (PID) [ 47] using BioMyn [ 48].

To further characterize the CRC subtypes at a functional level, we subjected the lists of subtype signature genes to a functional analysis using Signaling Pathway Enrichment using Experimental Datasets (SPEED) [ 45], the Molecular Signatures Database (MSigDB) [ 46], and KEGG [ 39] and Pathway Interaction Database (PID) [ 47] using BioMyn [ 48].

Having briefly outlined the technique and briefly examined an application with a widely published dataset concerning speed measurements taken around the introduction of signs in Cambridgeshire, this paper will demonstrate the potential for quantile regression modelling by examining recent data from Northamptonshire collected in conjunction with a "community speed watch" programme.

The results depict that the LHNFCSF addresses the medical big data issues by reducing the dimensions of large datasets and speeding up the learning process and improves the classification performance.

Two different algorithms were developed to extract individual station-to-station journeys from an example consisting of a dataset of speed profiles and energy consumption from an urban rail system, and four classification algorithms were developed to identify the station pairs associated with each journey.

Without indexing, it runs very effectively for a single query or on a small dataset, but the speed reduces significantly for large datasets.

The energy yields of a range of typical micro wind turbines (in the 0.4 2.5 kW size range) were estimated here using two wind speed datasets sited within 1 km of each other recorded with a temporal precision of 10 min.

By taking responsibility for executing queries against large-scale datasets at high speed, Dremio delivers Data-as-a-Service.

Reading and writing operations in the whole process are based on RDDs datasets and their speed is much faster.