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Investigation of accurate, fast, robust, neural gesture recognition involving a sequential approach

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Thesis-Zahida-Almuallem-complete-version.pdf (34.86Mb)
Thesis-Zahida-Almuallem-complete-version-LaTeX-files.zip (116.9Mb)
Date
28/11/2023
Author
Almuallem, Zahida
Supervisor
Weir, Michael
Funder
King Saud University
Metadata
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Abstract
Abstract redacted
DOI
https://doi.org/10.17630/sta/583
Type
Thesis, PhD Doctor of Philosophy
Rights
Embargo Date: 2025-08-14
Embargo Reason: Thesis restricted in accordance with University regulations. Restricted until 14th August 2025
Collections
  • Computer Science Theses
Description of related resources
Local minima Benchmark Problems and two letters dataset (thesis data). Almuallem, Z., University of St Andrews, 14 Aug 2025. DOI: https://doi.org/10.17630/b604b5ae-ec6d-4b0a-b050-a4bbf80b948b
Related resources
https://doi.org/10.17630/b604b5ae-ec6d-4b0a-b050-a4bbf80b948b
URI
http://hdl.handle.net/10023/28201

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