On the impact of smart sensor approximations on the accuracy of machine learning tasks-Reference-Cited by-同舟云学术

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On the impact of smart sensor approximations on the accuracy of machine learning tasks

Published:2020-12 Issue:12 Volume:6 Page:e05750
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Jahier Pagliari Daniele^ORCID,Poncino Massimo^ORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference48 articles.

1. Energy-efficient system design for iot devices;Jayakumar,2016

2. Efficient processing of deep neural networks: a tutorial and survey;Sze;Proc. IEEE,2017

3. Deep learning with edge computing: a review;Chen;Proc. IEEE,2019

4. Battery-aware design exploration of scheduling policies for multi-sensor devices;Chen,2018

5. Internet of Things;Buyya,2016

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive approximate computing in edge AI and IoT applications: A review;Journal of Systems Architecture;2024-05

2. Energy-Efficient Approximate Edge Inference Systems;ACM Transactions on Embedded Computing Systems;2023-07-24

3. Thermal Array Sensor Resolution-Aware Activity Recognition using Convolutional Neural Network;2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC);2022-02-21

4. ACME: An Energy-Efficient Approximate Bus Encoding for I2C;2021 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED);2021-07-26

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