Zhang, X.; Jiang, Y.; Gao, H.; Yang, W.; Liang, Z.; Liu, B.
Power-Efficient Trainable Neural Networks towards Accurate Measurement of Irregular Cavity Volume. Electronics 2022, 11, 2073.
https://doi.org/10.3390/electronics11132073
AMA Style
Zhang X, Jiang Y, Gao H, Yang W, Liang Z, Liu B.
Power-Efficient Trainable Neural Networks towards Accurate Measurement of Irregular Cavity Volume. Electronics. 2022; 11(13):2073.
https://doi.org/10.3390/electronics11132073
Chicago/Turabian Style
Zhang, Xin, Yueqiu Jiang, Hongwei Gao, Wei Yang, Zhihong Liang, and Bo Liu.
2022. "Power-Efficient Trainable Neural Networks towards Accurate Measurement of Irregular Cavity Volume" Electronics 11, no. 13: 2073.
https://doi.org/10.3390/electronics11132073
APA Style
Zhang, X., Jiang, Y., Gao, H., Yang, W., Liang, Z., & Liu, B.
(2022). Power-Efficient Trainable Neural Networks towards Accurate Measurement of Irregular Cavity Volume. Electronics, 11(13), 2073.
https://doi.org/10.3390/electronics11132073