Matches in UGent Biblio for { <https://biblio.ugent.be/publication/404657#aggregation> ?p ?o. }
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- aggregation classification "P1".
- aggregation creator B114871.
- aggregation creator B114872.
- aggregation date "2004".
- aggregation hasFormat 404657.bibtex.
- aggregation hasFormat 404657.csv.
- aggregation hasFormat 404657.dc.
- aggregation hasFormat 404657.didl.
- aggregation hasFormat 404657.doc.
- aggregation hasFormat 404657.json.
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- aggregation hasFormat 404657.rdf.
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- aggregation isPartOf urn:isbn:0-444-51694-8.
- aggregation isPartOf urn:issn:1570-7946.
- aggregation language "eng".
- aggregation publisher "Elsevier Science BV".
- aggregation subject "Mathematics and Statistics".
- aggregation title "Multivariate analysis and monitoring of sequencing batch reactor using multiway independent component analysis".
- aggregation abstract "This contribution describes the monitoring on a pilot-scale sequencing batch reactor (SBR) using a batchwise multiway independent component analysis method (MICA) which can extract meaningful hidden information from non-Gaussian data. Given that independent component analysis (ICA) is superior to principal component analysis (PCA) to extract features from non-Gaussian data sets, the use of ICA may improve monitoring performance. The monitoring results of a pilot-scale SBR for biological wastewater treatment showed the power and advantages of MICA monitoring in comparison to conventional monitoring methods.".
- aggregation authorList BK294818.
- aggregation endPage "864".
- aggregation startPage "859".
- aggregation volume "18".
- aggregation isDescribedBy 404657.
- aggregation similarTo LU-404657.