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Classification Approach for Industry Standards Categorizati..:
, In:
2022 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON)
,
Chaisricharoen, Roungsan
;
Srimaharaj, Wanus
;
Chaising, Supansa
. - p. 308-313 , 2022
Link:
https://doi.org/10.1109/ECTIDAMTNCON53731.2022.9720348
RT T1 <cTitle>2022 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON)</cTitle>: T1 <Title>Classification Approach for Industry Standards Categorization</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9720348&Exemplar=1&LAN=DE A1 Chaisricharoen, Roungsan A1 Srimaharaj, Wanus A1 Chaising, Supansa A1 Pamanee, Kanchit YR 2022 SN 2768-4644 K1 Industries K1 Deep learning K1 Machine learning algorithms K1 Law K1 Text categorization K1 Standards organizations K1 Organizations K1 Industry Standard K1 Machine Learning K1 Text Classification K1 Classification SP 308 OP 313 LK http://dx.doi.org/https://doi.org/10.1109/ECTIDAMTNCON53731.2022.9720348 DO https://doi.org/10.1109/ECTIDAMTNCON53731.2022.9720348 SF ELIB - SuUB Bremen
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