A CNN-based Fog Node Data Processing Method and Application in Wearable Heart Detection Equipment

Wu, Hailiang; Kang, Yuyun; Wang, Baiyang; Huo, Dongyue; Chen, Dongping

doi:10.1145/3522749.3523084

The 6th International Conference on Control Engineering and Artificial Intelligence 2022

DOI: 10.1145/3522749.3523084

|View full text |Cite

A CNN-based Fog Node Data Processing Method and Application in Wearable Heart Detection Equipment

Hailiang Wu

Yuyun Kang

Baiyang Wang

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Intelligent Edge-powered Data Reduction: A Systematic Literature Review

Pioli,

de Macedo,

Costa

et al. 2024

ACM Comput. Surv.

View full text Add to dashboard Cite

The development of the Internet of Things (IoT) paradigm and its significant spread as an affordable data source has brought many challenges when pursuing efficient data collection, distribution, and storage. Since such hierarchical logical architecture can be inefficient and costly in many cases, Data Reduction (DR) solutions have arisen to allow data preprocessing before actual transmission. To increase DR performance, researchers are using Artificial Intelligence (AI) techniques and models towards reducing sensed data volume. AI for DR on the edge is investigated in this study in the form of an Systematic Literature Review (slr) encompassing major issues such as data heterogeneity, AI-based techniques to reduce data, architectures, and contexts of usage. An SLR is conducted to map the state-of-the-art in this area, highlighting the most common challenges and potential research trends in addition to a proposed taxonomy.

show abstract

Intelligent Edge-powered Data Reduction: A Systematic Literature Review

Pioli,

de Macedo,

Costa

et al. 2024

ACM Comput. Surv.

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A CNN-based Fog Node Data Processing Method and Application in Wearable Heart Detection Equipment

Cited by 1 publication

References 6 publications

Intelligent Edge-powered Data Reduction: A Systematic Literature Review

Intelligent Edge-powered Data Reduction: A Systematic Literature Review

Contact Info

Product

Resources

About