An Efficient and Effective Machine Learning Framework for Compositional Data: A Study in Radioisotope Identification


Zhang, Siru (2024) An Efficient and Effective Machine Learning Framework for Compositional Data: A Study in Radioisotope Identification. PhD thesis, University of Liverpool.

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Item Type: Thesis (PhD)
Divisions: Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User: Symplectic Admin
Date Deposited: 18 Sep 2024 10:22
Last Modified: 08 Feb 2025 02:46
DOI: 10.17638/03178041
Supervisors:
  • Gusev, Vladimir
  • Goulermas, Yannis
  • Vitaliy, Kurlin
  • Jason, Ralph
  • Marsden, Edward
URI: https://livrepository.liverpool.ac.uk/id/eprint/3178041
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