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(a)–(d) Estimation error distribution in each battery.

(a)–(d) Estimation error distribution in each battery.

<p>(a)–(d) Estimation error distribution in each battery.</p>

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Bibliographic Details
Main Author: Peijian Jin (22265437) (author)
Other Authors: Shuo Yang (209399) (author), Xinwan Xu (22331819) (author), Chaoqun Li (104301) (author), Shihao Guo (5136650) (author), Wei Yan (4327) (author), Hui Miao (143177) (author), Shimei Sun (1427905) (author)
Published: 2025
Subjects:
Neuroscience
Space Science
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
remaining useful life
mitigating safety risks
fully connected layer
frequency image fusion
channel color images
capture spatial dependencies
novel multiview approach
model temporal dependencies
frequency images using
extract spatial features
xlink "> lithium
time &# 8211
final soh estimate
convolutional neural network
raw temporal features
stage attention mechanism
three representative features
frequency features
spatial correlations
grayscale images
stage prediction
widely used
wavelet transform
term memory
study proposes
preventing failures
multiview state
meaningful contribution
long short
ion batteries
integrating time
component makes
comparative experiments
accurate early
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