HIGHLIGHTS
- who: Jiayan Gan and collaborators from the School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China have published the research work: SAS-SEINet: A SNR-Aware Adaptive Scalable SEI Neural Network Accelerator Using Algorithm-Hardware Co-Design for High-Accuracy and Power-Efficient UAV Surveillance "2279, in the Journal: Sensors 2022, 6532 of /2022/
- what: This paper proposes high-accuracy and power-efficient hardware accelerator using an algorithm-hardware co-design for For the algorithm the authors propose network with precision computation. Based on the above, the authors . . .
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