LONG, Guangtao, YU, Kai, YANG, Shengfeng, ZHOU, Xiaohong, SHEN, Xudong und LU, Nanfang, 2025. Software anomaly detection technology based on deep learning. Procedia Computer Science. 15 Mai 2025. Vol. 259, , p. 1123-1129. DOI 10.1016/j.procs.2025.04.066.
Elsevier - Harvard (with titles)Long, G., Yu, K., Yang, S., Zhou, X., Shen, X., Lu, N., 2025. Software anomaly detection technology based on deep learning. Procedia Computer Science 259, 1123-1129. https://doi.org/10.1016/j.procs.2025.04.066
American Psychological Association 7th editionLong, G., Yu, K., Yang, S., Zhou, X., Shen, X., & Lu, N. (2025). Software anomaly detection technology based on deep learning. Procedia Computer Science, 259, 1123-1129. https://doi.org/10.1016/j.procs.2025.04.066
Springer - Basic (author-date)Long G, Yu K, Yang S, Zhou X, Shen X, Lu N (2025) Software anomaly detection technology based on deep learning.. Procedia Computer Science 259:1123-1129. https://doi.org/10.1016/j.procs.2025.04.066
Juristische Zitierweise (Stüber) (Deutsch)Long, Guangtao/ Yu, Kai/ Yang, Shengfeng/ Zhou, Xiaohong/ Shen, Xudong/ Lu, Nanfang, Software anomaly detection technology based on deep learning., Procedia Computer Science 2025, 1123-1129.