Meng, Yuquan, Lu, Kuan-Chieh, Dong, Zhiqiao, Li, Shichen, and Shao, Chenhui. Explainable few-shot learning for online anomaly detection in ultrasonic metal welding with varying configurations. Retrieved from https://par.nsf.gov/biblio/10484973. Journal of Manufacturing Processes 107.C Web. doi:10.1016/j.jmapro.2023.10.047.

Meng, Yuquan, Lu, Kuan-Chieh, Dong, Zhiqiao, Li, Shichen, & Shao, Chenhui. Explainable few-shot learning for online anomaly detection in ultrasonic metal welding with varying configurations. Journal of Manufacturing Processes, 107 (C). Retrieved from https://par.nsf.gov/biblio/10484973. https://doi.org/10.1016/j.jmapro.2023.10.047

Meng, Yuquan, Lu, Kuan-Chieh, Dong, Zhiqiao, Li, Shichen, and Shao, Chenhui. "Explainable few-shot learning for online anomaly detection in ultrasonic metal welding with varying configurations". Journal of Manufacturing Processes 107 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.jmapro.2023.10.047. https://par.nsf.gov/biblio/10484973.

@article{osti_10484973,
place = {Country unknown/Code not available}, title = {Explainable few-shot learning for online anomaly detection in ultrasonic metal welding with varying configurations}, url = {https://par.nsf.gov/biblio/10484973}, DOI = {10.1016/j.jmapro.2023.10.047}, abstractNote = {}, journal = {Journal of Manufacturing Processes}, volume = {107}, number = {C}, publisher = {Elsevier}, author = {Meng, Yuquan and Lu, Kuan-Chieh and Dong, Zhiqiao and Li, Shichen and Shao, Chenhui}, }