An Analysis of Semi-Supervised Machine Learning in Electrical Machines

An Analysis of Semi-Supervised Machine Learning in Electrical Machines

This research outlines the significance of semi-supervised machine learning (SSML) in dealing with the intricate characteristics of electrical machines. SSML provides a key benefit in enhancing the effectiveness and precision of predictive models for optimizing electrical machine performance, reliab...

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Bibliographic Details
Main Authors: V. Raju Arvind, S. Shyamsharan, Poorvajaa Gurunathan, Krishna Kumba, Nawin Ra
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Electrical machines
machine learning
generative models
graph based methods
self training
co-training
Online Access:https://ieeexplore.ieee.org/document/10988593/
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