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1 Ergebnisse
1
One Size Does Not Fit All : Multi-scale, Cascaded RNNs f..:
Roy, Dhrubojyoti
;
Srivastava, Sangeeta
;
Kusupati, Aditya
...
ACM Transactions on Sensor Networks (TOSN). 17 (2021) 2 - p. 1-27 , 2021
Link:
https://dl.acm.org/doi/10.1145/3439957
RT Journal T1
One Size Does Not Fit All : Multi-scale, Cascaded RNNs for Radar Classification
UL https://suche.suub.uni-bremen.de/peid=acm-3439957&Exemplar=1&LAN=DE A1 Roy, Dhrubojyoti A1 Srivastava, Sangeeta A1 Kusupati, Aditya A1 Jain, Pranshu A1 Varma, Manik A1 Arora, Anish PB ACM YR 2021 SN 1550-4859 SN 1550-4867 K1 Radar classification K1 edge sensing K1 joint optimization K1 low power K1 range K1 real-time embedded systems K1 recurrent neural network K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Computer systems organization K1 Embedded and cyber-physical systems K1 Sensor networks K1 Real-time systems K1 Real-time system architecture K1 Learning paradigms K1 Supervised learning K1 Supervised learning by classification K1 System on a chip K1 Cross-validation JF ACM Transactions on Sensor Networks (TOSN) VO 17 IS 2 SP 1 OP 27 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3439957 DO https://dl.acm.org/doi/10.1145/3439957 SF ELIB - SuUB Bremen
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