Kuang, J.; Tao, T.; Wu, Q.; Han, C.; Wei, F.; Chen, S.; Zhou, W.; Yan, C.; Xu, G.
Domain-Adaptive Prototype-Recalibrated Network with Transductive Learning Paradigm for Intelligent Fault Diagnosis under Various Limited Data Conditions. Sensors 2022, 22, 6535.
https://doi.org/10.3390/s22176535
AMA Style
Kuang J, Tao T, Wu Q, Han C, Wei F, Chen S, Zhou W, Yan C, Xu G.
Domain-Adaptive Prototype-Recalibrated Network with Transductive Learning Paradigm for Intelligent Fault Diagnosis under Various Limited Data Conditions. Sensors. 2022; 22(17):6535.
https://doi.org/10.3390/s22176535
Chicago/Turabian Style
Kuang, Jiachen, Tangfei Tao, Qingqiang Wu, Chengcheng Han, Fan Wei, Shengchao Chen, Wenjie Zhou, Cong Yan, and Guanghua Xu.
2022. "Domain-Adaptive Prototype-Recalibrated Network with Transductive Learning Paradigm for Intelligent Fault Diagnosis under Various Limited Data Conditions" Sensors 22, no. 17: 6535.
https://doi.org/10.3390/s22176535
APA Style
Kuang, J., Tao, T., Wu, Q., Han, C., Wei, F., Chen, S., Zhou, W., Yan, C., & Xu, G.
(2022). Domain-Adaptive Prototype-Recalibrated Network with Transductive Learning Paradigm for Intelligent Fault Diagnosis under Various Limited Data Conditions. Sensors, 22(17), 6535.
https://doi.org/10.3390/s22176535