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Ullah S, Ullah N, Siddique MF, Ahmad Z, Kim J-M. Spatio-Temporal Feature Extraction for Pipeline Leak Detection in Smart Cities Using Acoustic Emission Signals: A One-Dimensional Hybrid Convolutional Neural Network–Long Short-Term Memory Approach. Applied Sciences. 2024; 14(22):10339. https://doi.org/10.3390/app142210339

Ullah, Saif, Niamat Ullah, Muhammad Farooq Siddique, Zahoor Ahmad, and Jong-Myon Kim. 2024. "Spatio-Temporal Feature Extraction for Pipeline Leak Detection in Smart Cities Using Acoustic Emission Signals: A One-Dimensional Hybrid Convolutional Neural Network–Long Short-Term Memory Approach" Applied Sciences 14, no. 22: 10339. https://doi.org/10.3390/app142210339

Ullah, S., Ullah, N., Siddique, M. F., Ahmad, Z., & Kim, J.-M. (2024). Spatio-Temporal Feature Extraction for Pipeline Leak Detection in Smart Cities Using Acoustic Emission Signals: A One-Dimensional Hybrid Convolutional Neural Network–Long Short-Term Memory Approach. Applied Sciences, 14(22), 10339. https://doi.org/10.3390/app142210339