APA (7th ed.) Citation

Jiao, Y., Rayhana, R., Bin, J., Liu, Z., Wu, A., & Kong, X. (2021). A steerable pyramid autoencoder based framework for anomaly frame detection of water pipeline CCTV inspection. Measurement : journal of the International Measurement Confederation, 174, 109020. https://doi.org/10.1016/j.measurement.2021.109020

Chicago Style (17th ed.) Citation

Jiao, Yutong, Rakiba Rayhana, Junchi Bin, Zheng Liu, Angie Wu, and Xiangjie Kong. "A Steerable Pyramid Autoencoder Based Framework for Anomaly Frame Detection of Water Pipeline CCTV Inspection." Measurement : Journal of the International Measurement Confederation 174 (2021): 109020. https://doi.org/10.1016/j.measurement.2021.109020.

MLA (9th ed.) Citation

Jiao, Yutong, et al. "A Steerable Pyramid Autoencoder Based Framework for Anomaly Frame Detection of Water Pipeline CCTV Inspection." Measurement : Journal of the International Measurement Confederation, vol. 174, 2021, p. 109020, https://doi.org/10.1016/j.measurement.2021.109020.