Please use this identifier to cite or link to this item:
http//localhost:8080/jspui/handle/123456789/4947
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Habes, Salah eddine | - |
dc.date.accessioned | 2022-07-17T14:31:30Z | - |
dc.date.available | 2022-07-17T14:31:30Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | http//localhost:8080/jspui/handle/123456789/4947 | - |
dc.description.abstract | Neurodegenerativediseases (ND) are a serious issue whichencompasses a myriad of complex and incurable disorders. in thisthesis, we focus on Parkinson’sdisease (PD), specifically; the detection of PD though the automaticanalysis of offline handwriting. To accomplishthistask; we propose Park-Net, ourownconvolutional neural network (CNN) architecture. Weproceed to test this CNN on three PD handwritingdatasetsbeforecomparing the results to state-of-the-art works, and with a 98%accuracy, and to the best of ourknowledge; Park-Net outperformsstudies as recent as (2022). | en_US |
dc.description.sponsorship | Bennour A. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Larbi Tebessi University - Tebessa | en_US |
dc.title | Detection of neurodegenerativediseases by the automaticanalysis of handwriting | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | 3- إعلام آلي |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Habes_Salah_Eddine_(Detection_of_neurodegenerative_diseases_by_the_automatic_analysis_of_handwriting).pdf | 11,77 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
Admin Tools