Visual Anomaly Detection via CNN-BiLSTM Network with Knit Feature Sequence for Floating-Yarn Stacking during the High-Speed Sweater Knitting Process.

MLA

Li, Jing, et al. “Visual Anomaly Detection via CNN-BiLSTM Network with Knit Feature Sequence for Floating-Yarn Stacking during the High-Speed Sweater Knitting Process.” Electronics (2079-9292), vol. 13, no. 19, Oct. 2024, p. 3968. EBSCOhost, https://doi.org/10.3390/electronics13193968.

APA

Li, J., Wang, Y., Liang, W., Xiong, C., Cai, W., Li, L., & Liu, Y. (2024). Visual Anomaly Detection via CNN-BiLSTM Network with Knit Feature Sequence for Floating-Yarn Stacking during the High-Speed Sweater Knitting Process. Electronics (2079-9292), 13(19), 3968. https://doi.org/10.3390/electronics13193968

Chicago

Li, Jing, Yixiao Wang, Weisheng Liang, Chao Xiong, Wenbo Cai, Lijun Li, and Yi Liu. 2024. “Visual Anomaly Detection via CNN-BiLSTM Network with Knit Feature Sequence for Floating-Yarn Stacking during the High-Speed Sweater Knitting Process.” Electronics (2079-9292) 13 (19): 3968. doi:10.3390/electronics13193968.