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Deep transfer learning for visually induced motion sickness detection using symmetric projection attractor reconstruction of the electrocardiogram

Molefi, Emmanuel, Palaniappan, Ramaswamy (2024) Deep transfer learning for visually induced motion sickness detection using symmetric projection attractor reconstruction of the electrocardiogram. In: 2024 Computing in Cardiology (CinC), 8-11 Sep 2024, Karlsruhe, Germany. (In press) (KAR id:106410)

Item Type: Conference or workshop item (Paper)
Projects: DTP 2020-2021 University of Kent
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.87 Neural computers, neural networks
R Medicine > R Medicine (General) > R858 Computer applications to medicine. Medical informatics. Medical information technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Funders: Engineering and Physical Sciences Research Council (https://ror.org/0439y7842)
University of Kent (https://ror.org/00xkeyj56)
Depositing User: Emmanuel Molefi
Date Deposited: 24 Jun 2024 21:40 UTC
Last Modified: 25 Jun 2024 14:03 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/106410 (The current URI for this page, for reference purposes)

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