Feature-driven Approximate Computing for Wearable Health-Monitoring Systems
Author:
Affiliation:
1. University of New Hampshire, USA
2. Electrical and Computer Engineering, University of New Hampshire, USA
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3649476.3658719
Reference20 articles.
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4. Falls and Fall Injuries Among Adults Aged ≥65 Years — United States, 2014
5. I. Bhati, Z. Chishti, S. Lu, and B. Jacob. 2015. Flexible auto-refresh: Enabling scalable and energy-efficient DRAM refresh reductions. In Proc. ISCA. 235–246.
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