Wavelet attention-powered neural network framework with hierarchical dynamic frequency learning for lithium-ion battery state of health prediction

Research article (Journal of Energy Storage, 2023) · cited 16× · AI/ML
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Wavelet attention-powered neural network framework with hierarchical dynamic frequency learning for lithium-ion battery state of health prediction

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Wavelet attention-powered neural network framework with hierarchical dynamic frequency learning for lithium-ion battery state of health prediction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Wavelet attention-powered neural network framework with hierarchical dynamic frequency learning for lithium-ion battery state of health prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/wavelet-attention-powered-neural-network-framework-with-hierarchical-dynamic-frequency-learning-for-lithium-ion-battery-
MLA “Wavelet attention-powered neural network framework with hierarchical dynamic frequency learning for lithium-ion battery state of health prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/wavelet-attention-powered-neural-network-framework-with-hierarchical-dynamic-frequency-learning-for-lithium-ion-battery-.
BibTeX @misc{4ortxyz_wavelet-attention-powered-neural-network-framework-with-hierarchical-dynamic-frequency-learning-for-lithium-ion-battery-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Wavelet attention-powered neural network framework with hierarchical dynamic frequency learning for lithium-ion battery state of health prediction}}, year = {2026}, url = {https://4ort.xyz/entity/wavelet-attention-powered-neural-network-framework-with-hierarchical-dynamic-frequency-learning-for-lithium-ion-battery-}, note = {Accessed: 2026-05-24}}
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