Diving safety alarm based on the techniques of machine learning-Reference-Cited by-同舟云学术

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Diving safety alarm based on the techniques of machine learning

Published:2021-06-15 Issue: Volume: Page:
ISSN:1751-8628
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Ling Ying¹^ORCID,Yu Jo‐Hung²^ORCID,Shen Chih‐Chien¹^ORCID,Wu Chien‐Hung³^ORCID

Affiliation:

1. Institute of Physical Education and Health Yulin Normal University Yulin China

2. Department of Marine Leisure Management National Kaohsiung University of Science and Technology Kaohsiung City Taiwan

3. Department of Marine Recreation National Penghu University of Science and Technology Magong City Penghu Taiwan

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cmu2.12239

Reference28 articles.

1. Head‐mounted display for diving computer platform;Koss B.;J. Disp. Technol.,2011

2. Development of customized diving computer based on wearable sensor for marine safety;Eun S.J.;IEEE Access,2019

3. A two‐step processing method for diving‐mode squint sar imaging with subaperture data;Liang Y.;IEEE Trans. Geosci. Remote Sens,2011

4. Sound event recognition using auditory‐receptive‐field binary pattern and hierarchical‐diving deep belief network;Wang C.Y.;IEEE/ACM Trans. Audio Speech Lang. Process,2017

5. Sound event recognition using auditory‐receptive‐field binary pattern and hierarchical‐diving deep belief network;Yan Z.;IEEE Access,2019

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