Ben Slimane, J. (2024) “EFFICIENT REAL TIME ZYNQ 7000 FPGA DEPLOYMENT OF OPTIMIZED YOLOV2 DEEP LEANING MODEL FOR TARGET DETECTION, BASED ON HDL CODER METHODOLOGY.”, International Journal on Information Technologies & Security, 16(2), pp. 15-26. doi:10.59035/zbte3810.
Chicago Manual of Style 17th edition (full note)Ben Slimane, Jihane. “EFFICIENT REAL TIME ZYNQ 7000 FPGA DEPLOYMENT OF OPTIMIZED YOLOV2 DEEP LEANING MODEL FOR TARGET DETECTION, BASED ON HDL CODER METHODOLOGY.”. International Journal on Information Technologies & Security 16, no. 2 (April 1, 2024): 15-26. https://doi.org/10.59035/zbte3810.
American Psychological Association 7th editionBen Slimane, J. (2024). EFFICIENT REAL TIME ZYNQ 7000 FPGA DEPLOYMENT OF OPTIMIZED YOLOV2 DEEP LEANING MODEL FOR TARGET DETECTION, BASED ON HDL CODER METHODOLOGY. International Journal on Information Technologies & Security, 16(2), 15-26. https://doi.org/10.59035/zbte3810
Modern Language Association 9th editionBen Slimane, J. “EFFICIENT REAL TIME ZYNQ 7000 FPGA DEPLOYMENT OF OPTIMIZED YOLOV2 DEEP LEANING MODEL FOR TARGET DETECTION, BASED ON HDL CODER METHODOLOGY.”. International Journal on Information Technologies & Security, vol. 16, no. 2, Apr. 2024, pp. 15-26, https://doi.org/10.59035/zbte3810.
ISO-690 (author-date, Deutsch)BEN SLIMANE, Jihane, 2024. EFFICIENT REAL TIME ZYNQ 7000 FPGA DEPLOYMENT OF OPTIMIZED YOLOV2 DEEP LEANING MODEL FOR TARGET DETECTION, BASED ON HDL CODER METHODOLOGY. International Journal on Information Technologies & Security. 1 April 2024. vol. 16, no. 2, p. 15-26. DOI 10.59035/zbte3810