Real-Time Monitoring and Anomaly Detection in Hospital IoT Networks Using Machine Learning-Reference-Cited by-同舟云学术

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Real-Time Monitoring and Anomaly Detection in Hospital IoT Networks Using Machine Learning

Published:2023-12-29 Issue: Volume: Page:1-8
ISSN:
Container-title:2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI)
language:
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Author:

Ranjith Kumar G¹,Govekar Navnath Sopan²,Karthik A³,Nijhawan Ginni⁴,Alawadi Ahmed Hussien⁵,V Asha⁶

Affiliation:

1. School of Computer Science and Artificial Intelligence, SR University,Warangal,Telangana,India

2. Navsahyadri Group of Institutions,Department of Electrical Engineering,Pune,Maharashtra

3. Institute of Aeronautical Engineering,Dundigal, Hyderabad

4. Lovely Professional University,Phagwara

5. The Islamic university,Najaf,Iraq

6. New Horizon College of Engineering,Department of Computer Applications,Bangalore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488914/10488923/10489821.pdf?arnumber=10489821

Reference30 articles.

1. Complex event processing for physical and cyber security in datacentres - recent progress, challenges and recommendations

2. Machine-Learning-Based IoT–Edge Computing Healthcare Solutions

3. XBeats: A Real-Time Electrocardiogram Monitoring and Analysis System

4. A Systematic Review of Machine Learning and IoT Applied to the Prediction and Monitoring of Cardiovascular Diseases

5. Real-Time Learning and Monitoring System in Fighting against SARS-CoV-2 in a Private Indoor Environment

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