Sentence examples for data processing it needs to from inspiring English sources
Though the vast majority (circa 80%) of the data processing it needs to do to run this pervasive monitoring system is being done in the cloud right now.
Essentially this means that instead of sending data to the cloud for processing, it needs to be done right on the device itself because even a little bit of latency is too much.
Data processing is needed to extract reliable information from sequencing data and it can be divided into two major steps: primary analysis (image analysis and base calling) and secondary analysis.
As there is no complete information about both nanoparticle and substrate geometry at these parts of AFM image, all the data processing algorithms need to make some assumptions regarding nanoparticle and substrate properties.
Isn't it a bit hard to automate the bespoke manual pieces of data processing that businesses need to do to tie up their usage of various SaaS platforms?
As the title implies, their exist approaches to overcome limitations of previous methods of sensor data processing, they only need to be applied.
We focus on data processing effects that need to be considered not only in the case of cDNA arrays but also for other types of arrays (here only shown exemplarily for Affymetrix GeneChips).
The overall time for data processing in each data center needs to be calculated, and the maximum of them will be taken as the final result.
Two main nonbiological effects inherited in the RNA-seq data processing need to be removed to avoid potential biases in the estimation of expression distance: sequence length variation and sequencing depth variation.
It is important to note that, although the method is robust to different data pre-processing approaches, data need to be normalized before using FunPat in order to correct for differences in sequencing depth and guarantee an accurate estimate of the biological-plus-technical variability after the removal of systematic biases.
But for applications such as high-speed processing, data centres simply need to be close to end-users, wherever they live.
