A review of on-device machine learning for IoT: An energy perspective-Reference-Cited by-同舟云学术

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A review of on-device machine learning for IoT: An energy perspective

Published:2024-02 Issue: Volume:153 Page:103348
ISSN:1570-8705
Container-title:Ad Hoc Networks
language:en
Short-container-title:Ad Hoc Networks

Author:

Tekin Nazli^ORCID,Aris Ahmet^ORCID,Acar Abbas^ORCID,Uluagac Selcuk^ORCID,Gungor Vehbi Cagri^ORCID

Funder

NSF

TÜBİTAK

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference138 articles.

1. A survey of honeypots and honeynets for Internet of Things, industrial Internet of Things, and cyber-physical systems;Franco;IEEE Commun. Surv. Tutor.,2021

2. Internet of Things in industries: A survey;Da Xu,2014

3. A Survey on Security and Privacy Issues in Modern Healthcare Systems: Attacks and Defenses, vol. 2;Newaz,2021

4. How Nest thermostats learn,2022

5. What is conversational AI?,2022

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1. Proposal of a Cost-Effective and Adaptive Customized Driver Inattention Detection Model Using Time Series Analysis and Computer Vision;World Electric Vehicle Journal;2024-09-03

2. Accurate Short-Term Solar Irradiance Forecasting with TinyML on Edge Device;2024 International Conference on Circuit, Systems and Communication (ICCSC);2024-06-28

3. Impact of hyperbolic-cut twisted tape on heat transfer, friction factor and thermohydraulic performance of heat exchanger tube: an experimental study using Internet of Things (IoT) approach;Multiscale and Multidisciplinary Modeling, Experiments and Design;2024-05-21

4. Model Compression Method for S4 With Diagonal State Space Layers Using Balanced Truncation;IEEE Access;2024

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