An NLP-based framework for early identification of design reliability issues from heterogeneous automotive lifecycle data Article Swipe
Alexey Uglanov
,
Felician Campean
,
Amr Abdullatiff
,
Daniel Neagu
,
Aleksandr Doikin
,
David Delaux
,
Pascal Bonnaud
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.procir.2024.05.098
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.procir.2024.05.098
Related Topics
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Metadata
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- Language
- en
- Landing Page
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- OA Status
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- References
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- Related Works
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4403425036Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.procir.2024.05.098Digital Object Identifier
- Title
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An NLP-based framework for early identification of design reliability issues from heterogeneous automotive lifecycle dataWork title
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articleOpenAlex work type
- Language
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enPrimary language
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2024Year of publication
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2024-01-01Full publication date if available
- Authors
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Alexey Uglanov, Felician Campean, Amr Abdullatiff, Daniel Neagu, Aleksandr Doikin, David Delaux, Pascal BonnaudList of authors in order
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https://doi.org/10.1016/j.procir.2024.05.098Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.1016/j.procir.2024.05.098Direct OA link when available
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Automotive industry, Identification (biology), Reliability (semiconductor), Computer science, Artificial intelligence, Engineering, Natural language processing, Systems engineering, Physics, Power (physics), Botany, Quantum mechanics, Aerospace engineering, BiologyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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