FPGA-Based CNN Acceleration on Zynq-7020 for Embedded Ship Recognition in Unmanned Surface Vehicles.
- DOI
- 10.3390/s26051626
- Published
- 2026 Mar 5
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26051626,
title = {FPGA-Based CNN Acceleration on Zynq-7020 for Embedded Ship Recognition in Unmanned Surface Vehicles.},
author = {Haijoub A and Bekkari A and Hatim A and Arioua M and Srifi MN and Guerrero-Gonzalez A},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26051626},
url = {https://doi.org/10.3390/s26051626}
}RIS
TY - JOUR TI - FPGA-Based CNN Acceleration on Zynq-7020 for Embedded Ship Recognition in Unmanned Surface Vehicles. AU - Haijoub A AU - Bekkari A AU - Hatim A AU - Arioua M AU - Srifi MN AU - Guerrero-Gonzalez A PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26051626 UR - https://doi.org/10.3390/s26051626 ER -
APA
A, H., A, B., A, H., M, A., MN, S., & A, G. (2026). FPGA-Based CNN Acceleration on Zynq-7020 for Embedded Ship Recognition in Unmanned Surface Vehicles.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26051626
Source records
- pubmed · retrieved 2026-09-25T04:52:45.267Z