Pattern Classification Using Quantized Neural Networks for FPGA-Based Low-Power IoT Devices.

Biswal MR, Delwar TS, Siddique A, Behera P, Choi Y, Ryu JY

Open source

DOI
10.3390/s22228694
Published
2022 Nov 10
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/s22228694,
  title = {Pattern Classification Using Quantized Neural Networks for FPGA-Based Low-Power IoT Devices.},
  author = {Biswal MR and Delwar TS and Siddique A and Behera P and Choi Y and Ryu JY},
  year = {2022},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s22228694},
  url = {https://doi.org/10.3390/s22228694}
}

RIS

TY  - JOUR
TI  - Pattern Classification Using Quantized Neural Networks for FPGA-Based Low-Power IoT Devices.
AU  - Biswal MR
AU  - Delwar TS
AU  - Siddique A
AU  - Behera P
AU  - Choi Y
AU  - Ryu JY
PY  - 2022
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s22228694
UR  - https://doi.org/10.3390/s22228694
ER  -

APA

MR, B., TS, D., A, S., P, B., Y, C., & JY, R. (2022). Pattern Classification Using Quantized Neural Networks for FPGA-Based Low-Power IoT Devices.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s22228694

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