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DC Field | Value | Language |
---|---|---|
dc.contributor.author | CHAA, Mourad | - |
dc.contributor.author | HAMDI, Aya | - |
dc.contributor.author | HACINI, Ikram | - |
dc.contributor.author | BENHAOUED, Nadra | - |
dc.date.accessioned | 2024-09-29T10:35:41Z | - |
dc.date.available | 2024-09-29T10:35:41Z | - |
dc.date.issued | 2024 | - |
dc.identifier.citation | FACULTE DES NOUVELLES TECHNOLOGIES DE L'INFORMATIQUE ET DE LA COMMUNICATION | en_US |
dc.identifier.uri | https://dspace.univ-ouargla.dz/jspui/handle/123456789/36901 | - |
dc.description | System of telecommunications. | en_US |
dc.description.abstract | Dwayadz is a health application that uses machine and deep learning techniques to quickly and accurately classify medications. The application allows users to capture images of medications using their smartphones, analyzing them and classifying them. The research focuses on the development, collection of data, and evaluation of the performance of machine and deep learning models. The study also addresses challenges such as classification accuracy due to the similarity of certain medications and data protection and user privacy. The goal is to improve the application's performance, expand the database used in training, and improve the user interface. | en_US |
dc.description.sponsorship | Department of Electronics and Telecommunications | en_US |
dc.language.iso | en | en_US |
dc.publisher | UNIVERSITY KASDI MERBAH OUARGLA | en_US |
dc.subject | Machine Learning (ML) | en_US |
dc.subject | Deep Learning (DL) | en_US |
dc.subject | Image Classification | en_US |
dc.subject | Convolutional Neural | en_US |
dc.subject | Network (CNN) | en_US |
dc.title | A platform for searching and classifying medicines | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Département d'Electronique et des Télécommunications - Master |
Files in This Item:
File | Description | Size | Format | |
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HAMDI-HACINI-BENHAOUED.pdf | System of telecommunications. | 3,24 MB | Adobe PDF | View/Open |
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