Exploiting unlabeled data for battery state-of-health estimation using transformer-LSTM neural network with semi-supervised learning
2025 · Future Batteries · 0 citations
https://doi.org/10.1016/j.fub.2025.100133
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Zhangang Yang
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Zhangang Yang is an academic researcher from Civil Aviation University of China. The author has contributed to research in topics: Machine Fault Diagnosis Techniques & Advanced DC-DC Converters & Electric Motor Design and Analysis. The author has an h-index of 2, co-authored 7 publications.
ORCID: 0000-0001-8918-2872Papers by this author
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