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Neuromorphic Computing Architectures for EnergyEfficient Ed..:
, In:
2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)
,
Pradhan, Rahul
;
Gummadi, Annapurna
;
Tanusha, P.
... - p. 1-7 , 2024
Link:
https://doi.org/10.1109/INCOS59338.2024.10527546
RT T1 <cTitle>2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)</cTitle>: T1 <Title>Neuromorphic Computing Architectures for EnergyEfficient Edge Devices in Autonomous Vehicles</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10527546&Exemplar=1&LAN=DE A1 Pradhan, Rahul A1 Gummadi, Annapurna A1 Tanusha, P. A1 Sowmya, Gandla A1 Vaitheeshwari, S. A1 M, Ponni Valavan YR 2024 K1 Performance evaluation K1 Neuromorphic engineering K1 Signal processing algorithms K1 Computer architecture K1 Energy efficiency K1 Real-time systems K1 Computational efficiency K1 Neuromorphic Computing K1 Edge Devices K1 Autonomous Vehicles K1 Energy Efficiency K1 Spiking Neural Networks SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/INCOS59338.2024.10527546 DO https://doi.org/10.1109/INCOS59338.2024.10527546 SF ELIB - SuUB Bremen
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