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Classification of sprain and non-sprain motion using deep learning neural networks for ankle sprain prevention

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dc.contributor.advisorHazwani binti Suhaimi
dc.contributor.authorNatrisha binti Francis
dc.date.accessioned2025-10-16T06:58:19Z
dc.date.available2025-10-16T06:58:19Z
dc.date.issued2022
dc.descriptionxiv, 131 pages : Colour illustrations ; 30 cm | Thesis is also available in CD and is not for loan or reference use | Thesis (Master in Chemistry & Process Engineering) - Universiti Brunei Darussalam, 2022.
dc.description.sponsorshipUniversiti Brunei Darussalam. Faculty of Integrated Technologies
dc.format.extentxiv, 131 pages :
dc.identifier.urihttps://repository.ubd.edu.bn/handle/123456789/3578
dc.language.isoen
dc.publisherUniversiti Brunei Darussalam
dc.subjectUniversiti Brunei Darussalam -- Dissertation
dc.subjectSprain -- Brunei Darussalam
dc.subjectAnkle sprain
dc.subjectAnkle -- Wound and injuries -- Brunei Darussalam
dc.subjectNeural network (neurobiology)
dc.titleClassification of sprain and non-sprain motion using deep learning neural networks for ankle sprain prevention
dc.title.alternativeKTes RD106 N387 2022
dc.typeMaster’s Thesis
dspace.entity.typePublication
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