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Mol2text

dc.contributor.authorMihoubi, Houssem
dc.contributor.authorYesseri, Marwa
dc.contributor.authorHentabli, Hamza
dc.date.accessioned2023-01-18T09:11:32Z
dc.date.available2023-01-18T09:11:32Z
dc.date.issued2022
dc.description.abstractIn recent years, automatic image annotation (AIA) has become an emerging research topic aiming at reducing human labeling efforts for large-scale image collections . AIA refers to the process of automatically labeling the images with a predefined set of keywords or concepts representing image semantics .the aim of AIA is to build associations between image visual contents and concepts ;the aim of this reserach is to develop a novel method of Automatic Molecules annotaion MOL2text ,based on deep learning graph neural network (GNN) ,to build associations between molecules structure and concepts of key wordfr
dc.identifier.citationIngénierie de Systèmes et Technologies de Webfr
dc.identifier.govdocM622223
dc.identifier.urihttps://dspace.univ-medea.dz/handle/123456789/7670
dc.language.isoenfr
dc.relation.ispartofseries;M622223
dc.subjectMolecular descriptionfr
dc.subjectdeep learningfr
dc.subjectAutomatic image annotationfr
dc.titleMol2textfr
dc.title.alternativeAutomatic Molecular Description Using Deep Learningfr
dc.typeThesisfr

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