Deep Learning-based Estimation
Deep Learning-Based Estimation is a deep learning-driven methodological framework within state of charge estimation that leverages hierarchically structured neural networks to automatically extract complex electrochemical discharge patterns and map voltage, current, temperature, and impedance features to battery state of charge with minimal reliance on empirical modeling or hand-crafted feature engineering.
456
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28.3K
Citations
1.8K
Authors
655
Institutions
Publications per year
2017–2026
454
Parents
456
Fast animal pose estimation using deep neural networks
Talmo Pereira, Diego Aldarondo, Lindsay Willmore et al. · Nature Methods · 2018 · 721 citations · Full text
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Beijing Institute of Technology
Beijing, China
14 h-index
44 publications
5.2K citations
Tsinghua University
Beijing, China
11 h-index
29 publications
2.4K citations

University of Wollongong
Wollongong, Australia
11 h-index
16 publications
2.2K citations

Zhejiang University
Hangzhou, China
11 h-index
27 publications
845 citations

Beihang University
Beijing, China
10 h-index
35 publications
3.1K citations

Xi'an Jiaotong University
Xi'an, China
9 h-index
26 publications
1.1K citations
Georgia Institute of Technology
Atlanta, United States
7 h-index
16 publications
6.8K citations

National University of Malaysia
Bangi, Malaysia
7 h-index
9 publications
1.2K citations
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32 publications · 2.5K citations
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30 publications · 2.5K citations
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Repository · 13 publications · 632 citations
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