Dynamic Latency Optimization for Edge-Based Machine Learning Models in 6G-Enabled Industrial Internet of Things (IIoT)
- DOI
- 10.5281/zenodo.20094300
- Published
- 2026
- Container
- Not recorded
- Publisher
- Acta Scientiae
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.5281/zenodo.20094300,
title = {Dynamic Latency Optimization for Edge-Based Machine Learning Models in 6G-Enabled Industrial Internet of Things (IIoT)},
author = {Seema Patil and Harshavardhana Doddamani and Savitha A C and Julianne Rivers},
year = {2026},
doi = {10.5281/zenodo.20094300},
url = {https://doi.org/10.5281/zenodo.20094300}
}RIS
TY - JOUR TI - Dynamic Latency Optimization for Edge-Based Machine Learning Models in 6G-Enabled Industrial Internet of Things (IIoT) AU - Seema Patil AU - Harshavardhana Doddamani AU - Savitha A C AU - Julianne Rivers PY - 2026 DO - 10.5281/zenodo.20094300 UR - https://doi.org/10.5281/zenodo.20094300 ER -
APA
Patil, S., Doddamani, H., C, S. A., & Rivers, J. (2026). Dynamic Latency Optimization for Edge-Based Machine Learning Models in 6G-Enabled Industrial Internet of Things (IIoT). https://doi.org/10.5281/zenodo.20094300