Cite
Toward a deep CNN and RS‐GOA framework for vehicle detection, traffic flow estimation, and optimal path selection from surveillance videos.
MLA
Sasikala, S., et al. “Toward a Deep CNN and RS‐GOA Framework for Vehicle Detection, Traffic Flow Estimation, and Optimal Path Selection from Surveillance Videos.” International Journal of Communication Systems, vol. 36, no. 16, Nov. 2023, pp. 1–24. EBSCOhost, https://doi.org/10.1002/dac.5593.
APA
Sasikala, S., Neelaveni, R., & Jose, P. S. (2023). Toward a deep CNN and RS‐GOA framework for vehicle detection, traffic flow estimation, and optimal path selection from surveillance videos. International Journal of Communication Systems, 36(16), 1–24. https://doi.org/10.1002/dac.5593
Chicago
Sasikala, S., R. Neelaveni, and P. Sweety Jose. 2023. “Toward a Deep CNN and RS‐GOA Framework for Vehicle Detection, Traffic Flow Estimation, and Optimal Path Selection from Surveillance Videos.” International Journal of Communication Systems 36 (16): 1–24. doi:10.1002/dac.5593.