Results

eNauka >  Results >  Comparison of Two Deep Learning Models for the Recognition of Parkinson’s Disease Gait Patterns
Title: Comparison of Two Deep Learning Models for the Recognition of Parkinson’s Disease Gait Patterns
Authors: Bobić, Vladislava  ; Ðurić-Jovičić, Milica  ; Dragaševic-Mišković, Nataša  ; Kostić, Vladimir S.; Kvaščev, Goran  
Issue Date: 2023
Publication: 2023 10th International Conference on Electrical, Electronic and Computing Engineering (IcETRAN)
Type: Conference Paper
ISBN: 979-8-3503-0711-5 Search Idenfier
Collation: str. 1-5
DOI: 10.1109/IcETRAN59631.2023.10192156
Scopus-ID: 2-s2.0-85168421158
URI: https://enauka.gov.rs/handle/123456789/832907
Metadata source: (Preuzeto iz CrossRef-a) Krsmanović, Vladislava
M-category: 
Mp. category will be shown later

Altmetric
Dimensions

Find the DOI

Unpaywall

Google ScholarTM

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.