Zeng, X.; Yin, S.-B.; Guo, Y.; Lin, J.-R.; Zhu, J.-G.
A Novel Semi-Supervised Feature Extraction Method and Its Application in Automotive Assembly Fault Diagnosis Based on Vision Sensor Data. Sensors 2018, 18, 2545.
https://doi.org/10.3390/s18082545
AMA Style
Zeng X, Yin S-B, Guo Y, Lin J-R, Zhu J-G.
A Novel Semi-Supervised Feature Extraction Method and Its Application in Automotive Assembly Fault Diagnosis Based on Vision Sensor Data. Sensors. 2018; 18(8):2545.
https://doi.org/10.3390/s18082545
Chicago/Turabian Style
Zeng, Xuan, Shi-Bin Yin, Yin Guo, Jia-Rui Lin, and Ji-Gui Zhu.
2018. "A Novel Semi-Supervised Feature Extraction Method and Its Application in Automotive Assembly Fault Diagnosis Based on Vision Sensor Data" Sensors 18, no. 8: 2545.
https://doi.org/10.3390/s18082545
APA Style
Zeng, X., Yin, S. -B., Guo, Y., Lin, J. -R., & Zhu, J. -G.
(2018). A Novel Semi-Supervised Feature Extraction Method and Its Application in Automotive Assembly Fault Diagnosis Based on Vision Sensor Data. Sensors, 18(8), 2545.
https://doi.org/10.3390/s18082545