Partitioning Convolutional Neural Networks to Maximize the Inference Rate on Constrained IoT Devices
- DOI
- 10.3390/fi11100209
- Published
- 9
- Container
- Future Internet
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/fi11100209,
title = {Partitioning Convolutional Neural Networks to Maximize the Inference Rate on Constrained IoT Devices},
author = {Fabíola Martins Campos de Oliveira and Edson Borin},
year = {2019},
journal = {Future Internet},
doi = {10.3390/fi11100209},
url = {https://doi.org/10.3390/fi11100209}
}RIS
TY - JOUR TI - Partitioning Convolutional Neural Networks to Maximize the Inference Rate on Constrained IoT Devices AU - Fabíola Martins Campos de Oliveira AU - Edson Borin PY - 2019 JO - Future Internet DO - 10.3390/fi11100209 UR - https://doi.org/10.3390/fi11100209 ER -
APA
Oliveira, F. M. C. D., & Borin, E. (2019). Partitioning Convolutional Neural Networks to Maximize the Inference Rate on Constrained IoT Devices. Future Internet. https://doi.org/10.3390/fi11100209
Source records
- doaj · retrieved 2026-11-10T08:10:23.891Z