Reproducibility Data and Code for Energy-Aware TinyML Intrusion Detection on ESP32-S3: Model Selection under Latency, Footprint, and Board-Level Energy Constraints
- DOI
- 10.5281/zenodo.23774667
- Published
- 2026
- Container
- Not recorded
- Publisher
- Zenodo
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.5281/zenodo.23774667,
title = {Reproducibility Data and Code for Energy-Aware TinyML Intrusion Detection on ESP32-S3: Model Selection under Latency, Footprint, and Board-Level Energy Constraints},
author = {Fadhil Qasim, Hasan and Zainab Abbas Fadhil and Sarah Abdulzahra Kadim},
year = {2026},
doi = {10.5281/zenodo.23774667},
url = {https://doi.org/10.5281/zenodo.23774667}
}RIS
TY - JOUR TI - Reproducibility Data and Code for Energy-Aware TinyML Intrusion Detection on ESP32-S3: Model Selection under Latency, Footprint, and Board-Level Energy Constraints AU - Fadhil Qasim, Hasan AU - Zainab Abbas Fadhil AU - Sarah Abdulzahra Kadim PY - 2026 DO - 10.5281/zenodo.23774667 UR - https://doi.org/10.5281/zenodo.23774667 ER -
APA
Hasan, F. Q., Fadhil, Z. A., & Kadim, S. A. (2026). Reproducibility Data and Code for Energy-Aware TinyML Intrusion Detection on ESP32-S3: Model Selection under Latency, Footprint, and Board-Level Energy Constraints. https://doi.org/10.5281/zenodo.23774667