## Abstract Standard procedures to achieve quality assessment (QA) of functional magnetic resonance imaging (fMRI) data are of great importance. A standardized and fully automated procedure for QA is presented that allows for classification of data quality and the detection of artifacts by inspecti
โฆ LIBER โฆ
A quality assurance design for estimating data uncertainties in a soil characterization study
โ Scribed by Mohammed J. Miah; Rick D. Van Remortel; Gerald E. Byers; Michael L. Papp; John E. Teberg; Louis J. Blume
- Publisher
- Elsevier Science
- Year
- 1991
- Tongue
- English
- Weight
- 998 KB
- Volume
- 11
- Category
- Article
- ISSN
- 0169-7439
No coin nor oath required. For personal study only.
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