Multi-attribute feature fusion algorithm for blockchain communications in healthcare systems using machine intelligence-Reference-Cited by-同舟云学术

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Multi-attribute feature fusion algorithm for blockchain communications in healthcare systems using machine intelligence

Published:2023-09-15 Issue:22 Volume:27 Page:17435-17445
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Li Yan,Tan Zheng,Yang Shiqing,Kaur Mandeep

Funder

Chengdu Science and Technology Program

Research Platform Foundation of Chengdu Polytechnic

Sichuan Province Science and Technology Support Program

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-023-09192-8.pdf

Reference30 articles.

1. Drozdowski P, Stockhardt F, Rathgeb C et al (2021) Feature fusion methods for indexing and retrieval of biometric data: application to face recognition with privacy protection. IEEE Access 9:139361–139378

2. Kaur M (2023) AI- and IoT-based energy saving mechanism by minimizing hop delay in multi-hop and advanced optical system based optical channels. Opt Quant Electron 55:635

3. Kaur M, Khedkar G, Sakhare S et al (2023) A research study on the cervical cerclage to deal with cervical insufficiency using machine learning. Soft Comp. https://doi.org/10.1007/s00500-023-08622-x

4. Kim WT, Song J, Kim C (2020) A secure smart contract-based escrow scheme for cryptocurrency transactions. IEEE Access 8:96532–96545

5. Lan X et al.(2023) Multilevel feature fusion for end-to-end blind image quality assessment. In: IEEE Transactions on Broadcasting, https://doi.org/10.1109/TBC.2023.3262163.

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