APA (7th ed.) Citation

Jia, L., Yin Chai, W., Chee Siong, T., Xinjin, L., Liping, Z., & Fengrui, W. (2022). On the combination of adaptive neuro-fuzzy inference system and deep residual network for improving detection rates on intrusion detection. PLOS.

Chicago Style (17th ed.) Citation

Jia, Liu, Wang Yin Chai, Teh Chee Siong, Li Xinjin, Zhao Liping, and Wei Fengrui. On the Combination of Adaptive Neuro-fuzzy Inference System and Deep Residual Network for Improving Detection Rates on Intrusion Detection. PLOS, 2022.

MLA (9th ed.) Citation

Jia, Liu, et al. On the Combination of Adaptive Neuro-fuzzy Inference System and Deep Residual Network for Improving Detection Rates on Intrusion Detection. PLOS, 2022.