Cutting-edge optimized multi-source data fusion for trusted execution and management of blockchain transactions on the internet of medical things (IoMT) with machine learning.
- DOI
- 10.1038/s41598-025-28105-3
- Published
- 2025 Nov 21
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-28105-3,
title = {Cutting-edge optimized multi-source data fusion for trusted execution and management of blockchain transactions on the internet of medical things (IoMT) with machine learning.},
author = {Khan AA and Alsufyani A and Alsufyani N and Mohamed MA and Ullah S},
year = {2025},
journal = {Scientific reports},
doi = {10.1038/s41598-025-28105-3},
url = {https://doi.org/10.1038/s41598-025-28105-3}
}RIS
TY - JOUR TI - Cutting-edge optimized multi-source data fusion for trusted execution and management of blockchain transactions on the internet of medical things (IoMT) with machine learning. AU - Khan AA AU - Alsufyani A AU - Alsufyani N AU - Mohamed MA AU - Ullah S PY - 2025 JO - Scientific reports DO - 10.1038/s41598-025-28105-3 UR - https://doi.org/10.1038/s41598-025-28105-3 ER -
APA
AA, K., A, A., N, A., MA, M., & S, U. (2025). Cutting-edge optimized multi-source data fusion for trusted execution and management of blockchain transactions on the internet of medical things (IoMT) with machine learning.. Scientific reports. https://doi.org/10.1038/s41598-025-28105-3
Source records
- pubmed · retrieved 2026-09-26T11:42:26.477Z