Kumar, P.; Yingge, H.; Ali, I.; Pu, Y.-G.; Hwang, K.-C.; Yang, Y.; Jung, Y.-J.; Huh, H.-K.; Kim, S.-K.; Yoo, J.-M.;
et al. A Configurable and Fully Synthesizable RTL-Based Convolutional Neural Network for Biosensor Applications. Sensors 2022, 22, 2459.
https://doi.org/10.3390/s22072459
AMA Style
Kumar P, Yingge H, Ali I, Pu Y-G, Hwang K-C, Yang Y, Jung Y-J, Huh H-K, Kim S-K, Yoo J-M,
et al. A Configurable and Fully Synthesizable RTL-Based Convolutional Neural Network for Biosensor Applications. Sensors. 2022; 22(7):2459.
https://doi.org/10.3390/s22072459
Chicago/Turabian Style
Kumar, Pervesh, Huo Yingge, Imran Ali, Young-Gun Pu, Keum-Cheol Hwang, Youngoo Yang, Yeon-Jae Jung, Hyung-Ki Huh, Seok-Kee Kim, Joon-Mo Yoo,
and et al. 2022. "A Configurable and Fully Synthesizable RTL-Based Convolutional Neural Network for Biosensor Applications" Sensors 22, no. 7: 2459.
https://doi.org/10.3390/s22072459
APA Style
Kumar, P., Yingge, H., Ali, I., Pu, Y. -G., Hwang, K. -C., Yang, Y., Jung, Y. -J., Huh, H. -K., Kim, S. -K., Yoo, J. -M., & Lee, K. -Y.
(2022). A Configurable and Fully Synthesizable RTL-Based Convolutional Neural Network for Biosensor Applications. Sensors, 22(7), 2459.
https://doi.org/10.3390/s22072459
