Exploration of Smart Medical Systems for Efficient Recognition of Potential Sleep Disruption Cases Relying on Health Metrics-Reference-Cited by-同舟云学术

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Exploration of Smart Medical Systems for Efficient Recognition of Potential Sleep Disruption Cases Relying on Health Metrics

Published:2023-11-17 Issue: Volume:13 Page:1-6
ISSN:
Container-title:2023 International Conference on System, Computation, Automation and Networking (ICSCAN)
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Author:

Frank Anilloy¹,Ganapathy Kavina²,Yadav Dhyan Chandra³

Affiliation:

1. Presidency University,Department of Electronics and Communication Engineering,Bangalore,Karnataka,India

2. School of Sciences, JAIN (Deemed-to-be University),Department of Biotechnology,Karnataka,India

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10394675/10394687/10394733.pdf?arnumber=10394733

Reference26 articles.

1. A distributed coexistence mitigation scheme for IoT-based smart medical systems;Kim;Journal of Information Processing Systems,2017

2. Histopathological image classification using dilated residual grooming kernel model

3. Artificial Driving based EfficientNet for Automatic Plant Leaf Disease Classification

4. Water supply monitoring system with self-powered LoRa based wireless sensor system powered by solar and hydroelectric energy harvester

5. Neural Correlate-Based E-Learning Validation and Classification Using Convolutional and Long Short-Term Memory Networks

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