FPGA-Based CNN Acceleration on Zynq-7020 for Embedded Ship Recognition in Unmanned Surface Vehicles
- DOI
- 10.3390/s26051626
- Published
- 2026-03-05
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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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 = {Abdelilah Haijoub and Aissam Bekkari and Anas Hatim and Mounir Arioua and Mohamed Nabil Srifi and Antonio Guerrero-Gonzalez},
year = {2026},
journal = {Sensors},
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 - Abdelilah Haijoub AU - Aissam Bekkari AU - Anas Hatim AU - Mounir Arioua AU - Mohamed Nabil Srifi AU - Antonio Guerrero-Gonzalez PY - 2026 JO - Sensors DO - 10.3390/s26051626 UR - https://doi.org/10.3390/s26051626 ER -
APA
Haijoub, A., Bekkari, A., Hatim, A., Arioua, M., Srifi, M. N., & Guerrero-Gonzalez, A. (2026). FPGA-Based CNN Acceleration on Zynq-7020 for Embedded Ship Recognition in Unmanned Surface Vehicles. Sensors. https://doi.org/10.3390/s26051626
Source records
- crossref · retrieved 2026-11-10T07:59:58.545Z