How pairing in-line, non-contact quality control with Big Data provides deeper insights into manufacturing.

Objective quality control indices are needed to facilitate clinical implementation of DNA microarrays used in transcriptional profiling as well as other types of genomic analysis.

Augmented data quality solutions that use artificial intelligence and machine learning offer a fast, effective way to understand and improve data quality while minimizing manual intervention by ...

L. Allison Jones-Farmer, Jeremy D. Ezell, Benjamin T. Hazen, Applying Control Chart Methods to Enhance Data Quality, Technometrics, Vol. 56, No. 1 (February 2014), pp ...

• Underestimating Data Quality Needs: Sometimes, businesses fail to appreciate the importance of high-quality data to effectively train AI for the quality control system.

This is the second in a series of deep dives from AdExchanger on mobile fraud and mobile data quality, including guides to fraud tactics and threat vectors and practical solutions from advertisers in ...

Data governance, data integrity, and data quality are all widely used terms, but what do they actually mean and how are they connected?

Beginning with the selection of instruments and sensors to be used for data acquisition, ODF data technicians evaluate each detail that will result in the best possible hydrographic data. Data are ...

Researchers from the Institute of Atmospheric Physics and their collaborators provide a new climatological range-based automatic quality control system for ocean temperature in-situ profiles.