An Advanced Data-Centric Multi-Granularity Platform for Industrial Data Analysis

AuthID
 P-00Q-WQ9
2
Author(s)
Rato, TJ
4
Editor(s)
Kiss,AA;Zondervan,E;Lakerveld,R;Ozkan,L
Document Type
Proceedings Paper
Year published
2019
Published
in 29TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PT B in Computer Aided Chemical Engineering, ISSN: 1570-7946
Volume: 46, Pages: 1225-1230 (6)
Conference
29Th European Symposium on Computer-Aided Process Engineering (Escape), Date: JUN 16-19, 2019, Location: Eindhoven, NETHERLANDS, Sponsors: European Federat Chem Engn, CAPE Working Party, Nederland Procestechnologie, Proc Syst Engn NL, Eindhoven Univ Technol, Delft Univ Technol, Univ Twente, Upfield, Univ Bremen, Univ Manchester, Hong Kong Univ Sci & Technol
Indexing
Wos®
Scopus®
Crossref®1
Google Scholar®
Publication Identifiers
SCOPUS: 2-s2.0-85069737823
Wos: WOS:000495452400016
Source Identifiers
ISSN: 1570-7946
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