An Enhanced Optimization of Automated Detection of Cardiac Abnormalities Using Deep Learning-Reference-Cited by-同舟云学术

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An Enhanced Optimization of Automated Detection of Cardiac Abnormalities Using Deep Learning

Published:2024-01-29 Issue: Volume:15 Page:1-6
ISSN:
Container-title:2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)
language:
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Author:

Ojha Ananta¹,Yadav Dhyan Chandra²,Goyal Manish Kumar³

Affiliation:

1. Jain (Deemed to be University),Department of Computer Science and Information Technology,Bangalore,India

2. Maharishi School of Engineering & Technology, Maharishi University of Information Technology,Uttar Pradesh,India

3. Vivekananda Global University,Department of Computer Science & Application,Jaipur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10470457/10470444/10470703.pdf?arnumber=10470703

Reference17 articles.

1. An architecture and protocol for smart continuous eHealth monitoring using 5G

2. The Topology configuration of Protocol-primarily based nearby Networks in excessive pace communique networks;Logeshwaran;Multidisciplinary method in studies,2022

3. Cooperative Spectrum Sensing with Adaptive Double-Threshold Based Energy Detector in Cognitive Radio Networks

4. Design and Deployment of Low-Cost Sensors for Monitoring the Water Quality and Fish Behavior in Aquaculture Tanks during the Feeding Process

5. the moment possibility and affects electronic computer tracking for electron cloud behavior with the aid of using quantum deep learning version;Gopi;NeuroQuantology,2022

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