APA (7th ed.) Citation

Ullah, S., Ullah, N., Siddique, M. F., Ahmad, Z., & Kim, J. 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. MDPI AG.

Chicago Style (17th ed.) Citation

Ullah, Saif, Niamat Ullah, Muhammad Farooq Siddique, Zahoor Ahmad, and Jong-Myon Kim. 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. MDPI AG.

MLA (9th ed.) Citation

Ullah, Saif, et al. 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. MDPI AG.