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Detection of neurodegenerativediseases by the automaticanalysis of handwriting

dc.contributor.authorHabes, Salah eddine
dc.date.accessioned2022-07-17T14:31:30Z
dc.date.available2022-07-17T14:31:30Z
dc.date.issued2022
dc.description.abstractNeurodegenerativediseases (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.provenanceSubmitted by snv snv (dspace.snv@univ-tebessa.dz) on 2022-07-17T14:31:30Z No. of bitstreams: 1 Habes_Salah_Eddine_(Detection_of_neurodegenerative_diseases_by_the_automatic_analysis_of_handwriting).pdf: 12048538 bytes, checksum: 0cc3cf3be32a609a05d1d2652d7b030b (MD5)en
dc.description.provenanceMade available in DSpace on 2022-07-17T14:31:30Z (GMT). No. of bitstreams: 1 Habes_Salah_Eddine_(Detection_of_neurodegenerative_diseases_by_the_automatic_analysis_of_handwriting).pdf: 12048538 bytes, checksum: 0cc3cf3be32a609a05d1d2652d7b030b (MD5) Previous issue date: 2022en
dc.description.sponsorshipBennour A.en_US
dc.identifier.urihttp//localhost:8080/jspui/handle/123456789/4947
dc.language.isoenen_US
dc.publisherLarbi Tebessi University - Tebessaen_US
dc.titleDetection of neurodegenerativediseases by the automaticanalysis of handwritingen_US
dc.typeThesisen_US

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