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1
Estimating the COVID-19 Impact on the Semiconductor Shortag..:
, In:
Proceedings of the 2023 10th International Conference on Industrial Engineering and Applications
,
Beibit, Rauan
;
Fatahi Valilai, Omid
;
Wicaksono, Hendro
- p. 302-308 , 2023
Link:
https://dl.acm.org/doi/10.1145/3587889.3588215
RT T1
Proceedings of the 2023 10th International Conference on Industrial Engineering and Applications
: T1
Estimating the COVID-19 Impact on the Semiconductor Shortage in the European Automotive Industry using Supervised Machine Learning
UL https://suche.suub.uni-bremen.de/peid=acm-3588215&Exemplar=1&LAN=DE A1 Beibit, Rauan A1 Fatahi Valilai, Omid A1 Wicaksono, Hendro PB ACM YR 2023 K1 COVID-19 K1 automotive industry K1 prophet K1 random forest regression K1 semiconductor shortage K1 supply chain management K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Supervised learning by regression K1 Mathematics of computing K1 Probability and statistics K1 Statistical paradigms K1 Regression analysis SP 302 OP 308 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3587889.3588215 DO https://dl.acm.org/doi/10.1145/3587889.3588215 SF ELIB - SuUB Bremen
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