"Lightweight and Energy-Efficient Deep Learning Accelerator for Real-Time ..."

Kyungho Kim et al. (2023)

Details and statistics

DOI: 10.3390/S23031185

access: open

type: Journal Article

metadata version: 2023-03-11

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