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According to a multistep displacement/force control procedure, a data driven approach is performed with the aim of investigating the behaviuor of adhesive joints between GFRP profiles at service conditions focusing on the non-linearity of the interfacial damage as the number of cycles increases.
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The PRINQUAL procedure is a data transformation procedure that enables nominal and ordinal variables to have optimized covariance or correlation matrix for the following factor analysis.
A pre-requisite to any data mining procedure is a data curation stage [11].
The prediction and weight updating steps form the sampling procedure, and the sampling procedure is a data-independent operation and can be parallelized effectively.
All data was anonymised using standardised operating procedures by a data analyst at Beaumont hospital to protect patient confidentiality and privacy.
Mass spectrometry was performed as in procedure A for data-dependent acquisition.
This procedure resulted in a data set with slightly over 600 articles.
An alternate modeling procedure consists of a data driven approach wherein the principles of artificial intelligence (AI) are applied with the help of neural networks [ 2, 3].
An alternate modeling procedure consists of a data driven approach wherein the principles of artificial intelligence (AI) is applied with the help of neural networks [ 22].
Additionally we applied a multi-response permutation-procedure test, a data-driven method free from assumptions about the underlying distribution.
We also report straightforward and reliable experimental procedures together with a data evaluation pipeline optimised for the fission yeast microarrays.
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