Zhang, Y., & Liu, Q. (2022). On IoT intrusion detection based on data augmentation for enhancing learning on unbalanced samples. Future generation computer systems, 133, 213-227. https://doi.org/10.1016/j.future.2022.03.007
Chicago Style (17th ed.) CitationZhang, Ying, and Qiang Liu. "On IoT Intrusion Detection Based on Data Augmentation for Enhancing Learning on Unbalanced Samples." Future Generation Computer Systems 133 (2022): 213-227. https://doi.org/10.1016/j.future.2022.03.007.
MLA (9th ed.) CitationZhang, Ying, and Qiang Liu. "On IoT Intrusion Detection Based on Data Augmentation for Enhancing Learning on Unbalanced Samples." Future Generation Computer Systems, vol. 133, 2022, pp. 213-227, https://doi.org/10.1016/j.future.2022.03.007.
Warning: These citations may not always be 100% accurate.