Sentence examples for data processing challenges from inspiring English sources

Laboratories are often required to evaluate the diverse microarray formats, considering different biological questions, experimental designs, material restrictions, and resolutions or data processing challenges.

Multiparametric optical mapping generates large amounts of data per experiment, which makes data processing challenging.

Due to strict inherent limitations in terms of processing power, storage and bandwidth, data processing is a challenge in the wireless multimedia sensor networks.

Furthermore, computation running time under large data processing is another challenge for RNA-seq data analysis.

However, data processing can be challenging to the non-specialist and care is still needed to produce meaningful results.

Section 2 introduces the related big data processing systems and the challenges in developing POS.

However, there is an increasing demand for high-performance bioinformatics solutions that can help to address the various data processing and data interpretation challenges in the field [18 20].

The fast-generated content from various kinds of websites poses great challenges on data processing systems [1].

We discuss recent data processing methods that address the challenges resulting from the use of smart textiles.

In addition to the timely data processing and analysis, other practical challenges that impede the wide use of the intelligent compaction are establishing criteria for high quality compaction and relations between the in situ and roller measurements.

Effectively handling the big data stream to store, index, and query the data sources for lateral data processing is among the key challenges being addressed by researchers [25, 26].