Integrating AutoGluon for Real-Time Monitoring and Classification of Dental Equipment Performance
This study aims to introduce AutoGluon, an automated machine learning (AutoML) framework that monitors and classifies the performance of dental equipment in real time. The intent is to enable predictive maintenance through data processing automation, model selection and performance classification. U...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10817553/ |
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