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Retracted: 3D Animation Automatic Generation System Design Based on Deep Learning

Detalles Bibliográficos
Autor principal: Intelligence and Neuroscience, Computational
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371461/
https://www.ncbi.nlm.nih.gov/pubmed/37502043
http://dx.doi.org/10.1155/2023/9847139
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author Intelligence and Neuroscience, Computational
author_facet Intelligence and Neuroscience, Computational
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spelling pubmed-103714612023-07-27 Retracted: 3D Animation Automatic Generation System Design Based on Deep Learning Intelligence and Neuroscience, Computational Comput Intell Neurosci Retraction Hindawi 2023-07-19 /pmc/articles/PMC10371461/ /pubmed/37502043 http://dx.doi.org/10.1155/2023/9847139 Text en Copyright © 2023 Computational Intelligence and Neuroscience. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Retraction
Intelligence and Neuroscience, Computational
Retracted: 3D Animation Automatic Generation System Design Based on Deep Learning
title Retracted: 3D Animation Automatic Generation System Design Based on Deep Learning
title_full Retracted: 3D Animation Automatic Generation System Design Based on Deep Learning
title_fullStr Retracted: 3D Animation Automatic Generation System Design Based on Deep Learning
title_full_unstemmed Retracted: 3D Animation Automatic Generation System Design Based on Deep Learning
title_short Retracted: 3D Animation Automatic Generation System Design Based on Deep Learning
title_sort retracted: 3d animation automatic generation system design based on deep learning
topic Retraction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371461/
https://www.ncbi.nlm.nih.gov/pubmed/37502043
http://dx.doi.org/10.1155/2023/9847139
work_keys_str_mv AT intelligenceandneurosciencecomputational retracted3danimationautomaticgenerationsystemdesignbasedondeeplearning