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Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
Predictive analysis of brain imaging data based on deep learning algorithms
Xuan Wang
Xuan Wang
School of Computer and Communication Engineering, University of Science and Technology Beijing
Beijing, China
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Wang, Xuan
,
Xiaotong Zhang
Xiaotong Zhang
School of Computer and Communication Engineering, University of Science and Technology Beijing
Beijing, China
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Zhang, Xiaotong
and
Yuchen Zhang
Yuchen Zhang
School of Electronic and Information Engineering, Tongji University
Shanghai, China
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Zhang, Yuchen
Apr 01, 2024
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
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Published Online:
Apr 01, 2024
Received:
Jan 22, 2024
Accepted:
Jan 30, 2024
DOI:
https://doi.org/10.2478/amns-2024-0702
Keywords
<kwd>Brain imaging data</kwd>
,
<kwd>Deep learning</kwd>
,
<kwd>Kendall’s harmony coefficient</kwd>
,
<kwd>Data prediction</kwd>
© 2024 Xuan Wang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
