APA (7th ed.) Citation

Wu, J., Yang, Y., Lin, Z., Lin, Y., Wang, Y., Zhang, W., & Ma, H. (2025). Weak ultrasonic guided wave signal recognition based on one-dimensional convolutional neural network denoising autoencoder and its application to small defect detection in pipelines. Measurement : journal of the International Measurement Confederation, 242, 116234. https://doi.org/10.1016/j.measurement.2024.116234

Chicago Style (17th ed.) Citation

Wu, Jing, Yingfeng Yang, Zeyu Lin, Yizhou Lin, Yan Wang, Weiwei Zhang, and Hongwei Ma. "Weak Ultrasonic Guided Wave Signal Recognition Based on One-dimensional Convolutional Neural Network Denoising Autoencoder and Its Application to Small Defect Detection in Pipelines." Measurement : Journal of the International Measurement Confederation 242 (2025): 116234. https://doi.org/10.1016/j.measurement.2024.116234.

MLA (9th ed.) Citation

Wu, Jing, et al. "Weak Ultrasonic Guided Wave Signal Recognition Based on One-dimensional Convolutional Neural Network Denoising Autoencoder and Its Application to Small Defect Detection in Pipelines." Measurement : Journal of the International Measurement Confederation, vol. 242, 2025, p. 116234, https://doi.org/10.1016/j.measurement.2024.116234.