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1 Ergebnisse
1
Hybrid Deep Neural Network with CNN and RNN alongside 1st o..:
, In:
2023 IEEE International Ultrasonics Symposium (IUS)
,
Joshi, Deepak Kumar
;
Yadao, Sudarshan
;
Das, Pabitra
... - p. 1-4 , 2023
Link:
https://doi.org/10.1109/IUS51837.2023.10306380
RT T1
2023 IEEE International Ultrasonics Symposium (IUS)
: T1
Hybrid Deep Neural Network with CNN and RNN alongside 1st order B-spline Differential-Based Methodology for Real Time Fatigue Crack Growth Rate Monitoring Using Only AE Sensors
UL https://suche.suub.uni-bremen.de/peid=ieee-10306380&Exemplar=1&LAN=DE A1 Joshi, Deepak Kumar A1 Yadao, Sudarshan A1 Das, Pabitra A1 Bhange, Prasannata A1 Pandu, Sunil Kumar A1 Mankari, Kamal A1 Sridhar, K. A1 Acharyya, Swati Ghosh A1 Acharyya, Amit YR 2023 SN 1948-5727 K1 Industries K1 Fatigue K1 Real-time systems K1 Sensors K1 Convolutional neural networks K1 Steel K1 Reliability K1 Deep neural network K1 long short-term memory K1 convolution neural network K1 acoustic emission K1 fatigue crack growth rate SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/IUS51837.2023.10306380 DO https://doi.org/10.1109/IUS51837.2023.10306380 SF ELIB - SuUB Bremen
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