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Detecting Parkinson’s disease from shoe-mounted accelerometer sensors using convolutional neural networks optimized with modified metaheuristics
| Title: | Detecting Parkinson’s disease from shoe-mounted accelerometer sensors using convolutional neural networks optimized with modified metaheuristics | Authors: | L. Jovanovic  ; R. Damaševičius; R. Matic; M. Kabiljo; Vladimir Simic  ; G. Kunjadic; M. Antonijevic ; M. Zivkovic ; N. Bacanin |
Issue Date: | 2024 | Publication: | PeerJ Computer Science | ISSN: | 2376-5992 PeerJ Computer Science Search Idenfier |
Type: | Article | Collation: | vol. 10 br. 10:e2031 str. 1-52 | DOI: | 10.7717/peerj-cs.2031 | WoS-ID: | 001223558100001 | Scopus-ID: | 2-s2.0-85193539898 | URI: | http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/9852 https://peerj.com/articles/cs-2031/ https://enauka.gov.rs/handle/123456789/918138 |
URL: | https://peerj.com/articles/cs-2031/ | M-category: | 21M21 |
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