A Distributed Data Fusion and Lightweight Deep Learning Framework for Hierarchical Risk Prediction over Heterogeneous Institutional Data Streams
- DOI
- 10.21203/rs.3.rs-9883305/v1
- Published
- 2026-06-11
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- Not recorded
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.21203/rs.3.rs-9883305/v1,
title = {A Distributed Data Fusion and Lightweight Deep Learning Framework for Hierarchical Risk Prediction over Heterogeneous Institutional Data Streams},
author = {Jinyun Hu and Xuenan Du and Wen Song and Jian Su and Na Li and Jiangbo Guo and Huayan Shang},
year = {2026},
doi = {10.21203/rs.3.rs-9883305/v1},
url = {https://doi.org/10.21203/rs.3.rs-9883305/v1}
}RIS
TY - JOUR TI - A Distributed Data Fusion and Lightweight Deep Learning Framework for Hierarchical Risk Prediction over Heterogeneous Institutional Data Streams AU - Jinyun Hu AU - Xuenan Du AU - Wen Song AU - Jian Su AU - Na Li AU - Jiangbo Guo AU - Huayan Shang PY - 2026 DO - 10.21203/rs.3.rs-9883305/v1 UR - https://doi.org/10.21203/rs.3.rs-9883305/v1 ER -
APA
Hu, J., Du, X., Song, W., Su, J., Li, N., Guo, J., & Shang, H. (2026). A Distributed Data Fusion and Lightweight Deep Learning Framework for Hierarchical Risk Prediction over Heterogeneous Institutional Data Streams. https://doi.org/10.21203/rs.3.rs-9883305/v1
Source records
- crossref · retrieved 2026-09-26T04:26:51.721Z