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1 Ergebnisse
1
A Comparative Study on the Modern Deep Learning Architectur..:
, In:
2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET)
,
Senjaliya, Harsh
;
Gajjar, Pranshav
;
Dodia, Virensinh
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/GlobConET56651.2023.10149936
RT T1 <cTitle>2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET)</cTitle>: T1 <Title>A Comparative Study on the Modern Deep Learning Architectures For Predicting Nutritional Deficiency in Rice Plants</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10149936&Exemplar=1&LAN=DE A1 Senjaliya, Harsh A1 Gajjar, Pranshav A1 Dodia, Virensinh A1 Shah, Pooja A1 Bardhan, Kirti A1 Shukla, Madhu YR 2023 K1 Measurement K1 Pipelines K1 Computer architecture K1 Predictive models K1 Prediction algorithms K1 Nitrogen K1 Task analysis K1 Deep Learning K1 Agriculture K1 Nutritional Deficiency Prediction SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/GlobConET56651.2023.10149936 DO https://doi.org/10.1109/GlobConET56651.2023.10149936 SF ELIB - SuUB Bremen
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