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1 Ergebnisse
1
Ensemble Neural Network 3D-CNN and LSTM in the Problem of A..:
, In:
2024 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)
,
Puchkov, Andrey
;
Dli, Maxim
;
Bobkov, Vladimir
- p. 1001-1006 , 2024
Link:
https://doi.org/10.1109/ICIEAM60818.2024.10554041
RT T1 <cTitle>2024 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)</cTitle>: T1 <Title>Ensemble Neural Network 3D-CNN and LSTM in the Problem of Assessing the State of a Technological System for Processing Ore Waste</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10554041&Exemplar=1&LAN=DE A1 Puchkov, Andrey A1 Dli, Maxim A1 Bobkov, Vladimir YR 2024 K1 Analytical models K1 Recurrent neural networks K1 Three-dimensional displays K1 Ores K1 Process control K1 Mathematical models K1 Data models K1 processing of ore waste K1 assessment of the condition of technical objects K1 deep neural networks SP 1001 OP 1006 LK http://dx.doi.org/https://doi.org/10.1109/ICIEAM60818.2024.10554041 DO https://doi.org/10.1109/ICIEAM60818.2024.10554041 SF ELIB - SuUB Bremen
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