Cargando…

Recent Developments in Deep Learning for Engineering Applications

Detalles Bibliográficos
Autores principales: Voulodimos, Athanasios, Doulamis, Nikolaos, Bebis, George, Stathaki, Tania
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5971264/
https://www.ncbi.nlm.nih.gov/pubmed/29861713
http://dx.doi.org/10.1155/2018/8141259
_version_ 1783326253265190912
author Voulodimos, Athanasios
Doulamis, Nikolaos
Bebis, George
Stathaki, Tania
author_facet Voulodimos, Athanasios
Doulamis, Nikolaos
Bebis, George
Stathaki, Tania
author_sort Voulodimos, Athanasios
collection PubMed
description
format Online
Article
Text
id pubmed-5971264
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-59712642018-06-03 Recent Developments in Deep Learning for Engineering Applications Voulodimos, Athanasios Doulamis, Nikolaos Bebis, George Stathaki, Tania Comput Intell Neurosci Editorial Hindawi 2018-05-10 /pmc/articles/PMC5971264/ /pubmed/29861713 http://dx.doi.org/10.1155/2018/8141259 Text en Copyright © 2018 Athanasios Voulodimos et al. 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 Editorial
Voulodimos, Athanasios
Doulamis, Nikolaos
Bebis, George
Stathaki, Tania
Recent Developments in Deep Learning for Engineering Applications
title Recent Developments in Deep Learning for Engineering Applications
title_full Recent Developments in Deep Learning for Engineering Applications
title_fullStr Recent Developments in Deep Learning for Engineering Applications
title_full_unstemmed Recent Developments in Deep Learning for Engineering Applications
title_short Recent Developments in Deep Learning for Engineering Applications
title_sort recent developments in deep learning for engineering applications
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5971264/
https://www.ncbi.nlm.nih.gov/pubmed/29861713
http://dx.doi.org/10.1155/2018/8141259
work_keys_str_mv AT voulodimosathanasios recentdevelopmentsindeeplearningforengineeringapplications
AT doulamisnikolaos recentdevelopmentsindeeplearningforengineeringapplications
AT bebisgeorge recentdevelopmentsindeeplearningforengineeringapplications
AT stathakitania recentdevelopmentsindeeplearningforengineeringapplications