Drowning Detection and Security in Falls with IoT Server-Reference-Cited by-同舟云学术

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Drowning Detection and Security in Falls with IoT Server

Published:2023-02-02 Issue: Volume: Page:
ISSN:
Container-title:2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)
language:
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Author:

Kavitha C.¹,Sridevi N.²,Dhivagar D.³

Affiliation:

1. IFET College of Engineering (An Autonomous Institution),Department of Information Technology,Villupuram,India

2. Sathyabama Institution of Science and Technology,Department of Computer Science and Engineering,Chennai,India

3. IFET College of Engineering (An Autonomous Institution),Department of IT Department of Information Technology,Villupuram,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10073654/10073655/10073845.pdf?arnumber=10073845

Reference18 articles.

1. The working principle of an Arduino

2. Percutaneous left ventricular assist device: “TandemHeart” for high-risk coronary intervention

3. A Survey on Sources of Noise and Advanced Noise Removal Techniques of Biosignals;banu;International Journal on Emerging Technologies (Special Issue on ICRIET-2016),2016

4. Twin AV Node and Induced Supraventricular Tachycardia in Fontan Palliation Patients

5. Development of low power wearable physiological signal monitoring system

Cited by 1 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. Drowning Human Detection Using Deep Learning Techniques;2024 Sixth International Conference on Computational Intelligence and Communication Technologies (CCICT);2024-04-19

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