Optimized deep learning based digital twin architecture for system management in heterogeneous IoT system

TAS-VANET: a trust-aware clustering and misbehavior management architecture for vehicular networks with whale-optimized deep detection
Fahad Ghalib Abdulkadhim, Sabah Khudhair Abbas, Ghaith H. Alashour +3
Scientific Reports22 Oct 2026Peer-reviewedCC BY-NC-ND 4.0Full textCrossref
Bayesian-Optimized Deep Learning for Helicobacter pylori Detection in Egyptian Gastric Histopathology: A Multi-Architecture Study
Reham Faeq Hasona, Mahmoud M. Saafan, Eman M. El-Gendy +2
Microorganisms1 Oct 2026Peer-reviewedCC BYFull textEurope PMC
Strategic Management Model for Complex Digital Projects in a Heterogeneous Corporate Environment
Yana Mishina
Zenodo20 Oct 2026PreprintCC BY 4.0Full textZenodo
An EfficientNet hybrid deep learning detection framework of network intrusion with an optimized mixture-of-experts architecture
Huadong Li, Xiongzhi Xiao, Jianfeng Feng +1
Scientific Reports1 Jul 2026Peer-reviewedCC BYFull textGeneral medicineDOAJ
Strategic Management Model for Industry-Specific Digital Platforms and Ecosystems: Value, Interaction, and Scaling Architecture
Yana Mishina
Zenodo20 Oct 2026PreprintCC BY 4.0Full textZenodo

Cite

BibTeX

@article{jebasingh2026optimized,
  title = {{Optimized deep learning based digital twin architecture for system management in heterogeneous IoT system}},
  author = {G. R. Samuel Jebasingh and M. Amsaprabhaa},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-73859-z},
  url = {https://www.nature.com/articles/s41598-026-73859-z},
  note = {CC BY-NC-ND 4.0},
}

RIS

TY  - JOUR
TI  - Optimized deep learning based digital twin architecture for system management in heterogeneous IoT system
AU  - G. R. Samuel Jebasingh
AU  - M. Amsaprabhaa
PY  - 2026
DA  - 2026/10/23
JO  - Scientific Reports
DO  - 10.1038/s41598-026-73859-z
UR  - https://www.nature.com/articles/s41598-026-73859-z
SN  - 2045-2322
ER  -

Related

Cite