Intelligent framework for cannabis classi cation using visualization of gas chromatography/mass spectrometry data and transfer learning

HIGHLIGHTS

• who: April and collaborators from the University of Alberta, Canada have published the research: Intelligent framework for cannabis classi cation using visualization of gas chromatography/mass spectrometry data and transfer learning, in the Journal: (JOURNAL)
• what: This research work investigated and presented a promising approach that combined GC/MS data visualization and transfer learning as a new framework for solving various forensic classification tasks.
• how: Specifically the verification data were obtained by random selection of one object in every sub-portion of the 14 groups as listed in Supplementary Table S1. the National . . .
  

   

  

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