Failure Prediction for Hemodialysis Units Using Machine Learning and Hall Effect Sensors-Reference-Cited by-同舟云学术

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Failure Prediction for Hemodialysis Units Using Machine Learning and Hall Effect Sensors

Published:2023-09-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 2nd National Biomedical Engineering Conference (NBEC)
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Author:

Noordin Muhammad Khair¹,Amran Mohd Effendi²,Bani Nurul Aini³,Ahmad Kamil Ahmad Safwan²,Md Nasir Ahmad Nabil¹,Arsat Mahyuddin¹

Affiliation:

1. Universiti Teknologi Malaysia,Faculty of Social Sciences and Humanities,Johor Bahru,Johor,Malaysia

2. Ministry of Health Malaysia,Biomedical Sector, Engineering Service Division,Putrajaya,Malaysia

3. Universiti Teknologi Malaysia,Razak School of Technology and Informatics,Kuala Lumpur,Johor,Malaysia

Funder

Ministry of Health

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10352578/10352446/10352619.pdf?arnumber=10352619

Reference9 articles.

1. Accurate bearing remaining useful life prediction based on Weibull distribution and artificial neural network

2. Prediction and Knowledge Mining of Outdoor Atmospheric Corrosion Rates of Low Alloy Steels Based on the Random Forests Approach

3. Remaining Useful Life Estimation of Critical Components With Application to Bearings

4. Degradation processes modelled with Dynamic Bayesian Networks

5. Position estimation and control of compact BLDC motors based on analog linear Hall effect sensors

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1. Magnetic Micro and Nano Sensors for Continuous Health Monitoring;Micro;2024-04-06

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