YU, Xiang, YANG, Xianfei, TAN, Qingji, SHAN, Chun und LV, Zhihan, 2022. An edge computing based anomaly detection method in Io T industrial sustainability. Applied Soft Computing. 1 Oktober 2022. Vol. 128, , p. N.PAG-0. DOI 10.1016/j.asoc.2022.109486.
Elsevier - Harvard (with titles)Yu, X., Yang, X., Tan, Q., Shan, C., Lv, Z., 2022. An edge computing based anomaly detection method in Io T industrial sustainability. Applied Soft Computing 128, N.PAG-0. https://doi.org/10.1016/j.asoc.2022.109486
American Psychological Association 7th editionYu, X., Yang, X., Tan, Q., Shan, C., & Lv, Z. (2022). An edge computing based anomaly detection method in Io T industrial sustainability. Applied Soft Computing, 128, N.PAG-0. https://doi.org/10.1016/j.asoc.2022.109486
Springer - Basic (author-date)Yu X, Yang X, Tan Q, Shan C, Lv Z (2022) An edge computing based anomaly detection method in Io T industrial sustainability.. Applied Soft Computing 128:N.PAG-0. https://doi.org/10.1016/j.asoc.2022.109486
Juristische Zitierweise (Stüber) (Deutsch)Yu, Xiang/ Yang, Xianfei/ Tan, Qingji/ Shan, Chun/ Lv, Zhihan, An edge computing based anomaly detection method in Io T industrial sustainability., Applied Soft Computing 2022, N.PAG-0.