Data-driven approaches for the classification of crystallisation from in-line images

Sandhu, Parandeep and Tachtatzis, Christos and Boyle, Christopher and Cardona, Javier (2023) Data-driven approaches for the classification of crystallisation from in-line images. In: ISIC 2023, 2023-09-05 - 2023-09-08, University of Strathclyde.

Preview

Text. Filename: Sandhu-etal-ISIC-2023-Data-driven-approaches-for-the-classification-of-crystallisation.pdf Final Published Version License: Strathprints license 1.0 Download (1MB)| Preview

ORCID iDs

Tachtatzis, Christos ORCID: https://orcid.org/0000-0001-9150-6805

Boyle, Christopher ORCID: https://orcid.org/0000-0001-8926-6590

Cardona, Javier ORCID: https://orcid.org/0000-0002-9284-1899

• Share and Export
  

  RDF+XMLBibTeXRIOXX2 XMLRDF+N-TriplesJSONDublin CoreAtomSimple MetadataReferMETSHTML CitationASCII CitationOpenURL ContextObjectEndNoteOpenURL ContextObject in SpanMODSMPEG-21 DIDLEP3 XMLData Cite XMLRIS (EndNote Online, Zotero, Ref manager, etc)RDF+N3Multiline CSV
• Item metadata

  Item type:	Conference or Workshop Item(Poster)
  ID code:	87911
  Dates:	Date Event 5 September 2023 Published
  Subjects:	Science > Chemistry
  Department:	Faculty of Engineering > Electronic and Electrical Engineering Strategic Research Themes > Measurement Science and Enabling Technologies Faculty of Engineering > Chemical and Process Engineering
  Depositing user:	Pure Administrator
  Date deposited:	25 Jan 2024 14:39
  Last modified:	11 Nov 2024 17:10
  URI:	https://strathprints.strath.ac.uk/id/eprint/87911