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On Nov. 20, the site published a brief article explaining this fact and describing the simple procedure that converts the disc to allow full installation.
Another example is the Cloud-to-BIM-to-FEM [62] method, which is not exactly an automation, it is rather a procedure that converts point clouds to BIM and then simulates the structural behaviour using Finite Element Method (FEM).
Prieur et al. use Pricipal Components Analysis (a statistical procedure that converts a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables) on a set of features extracted from Flickr groups to detect the main dimensions that characterize them [26] [28].
If a patient subsequently receives another procedure that converts failure after the first procedure into success, this outcome could be misattributed to the first procedure.
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PCA is a mathematical procedure that uses mathematical projections to convert a set of n possibly correlated variables representing n dimensions into a smaller number of dimensions called 'principal components' classically represented in two or three axes F1, F2 and F3.
A Principal Component Analysis (PCA), a mathematical procedure that uses orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components, is often used to analyse array and metabolomic data [ 25].
PCA is a mathematical procedure that uses an orthogonal transform to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components.
PCA is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of principal components.
KLT or PCA is a data-dependent mathematical procedure that uses an orthogonal transformation to convert possibly correlated elements of the data into a set of linearly uncorrelated components called "principal components".
We adjusted for genetic ancestry via the first two PCs generated by principal component analysis (PCA), a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables (n × m matrix, i.e., sample × genotypes matrix) into a set of values of linearly uncorrelated variables called PCs.
Transcripts can be directly measured as RNA species or can be converted into cDNA via reverse transcription a laboratory procedure that uses viral enzymes to transcribe RNA to DNA.
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