Chen, Z.; Gu, Z.; Qin, L.; Mi, H.; Zhou, C.; Zhang, H.; Feng, X.; Song, T.; Wu, K.; Wang, X.;
et al. Classification Prediction of Natural Gas Pipeline Leakage Faults Based on Deep Learning: Employing a Lightweight CNN with Attention Mechanisms. Processes 2025, 13, 3454.
https://doi.org/10.3390/pr13113454
AMA Style
Chen Z, Gu Z, Qin L, Mi H, Zhou C, Zhang H, Feng X, Song T, Wu K, Wang X,
et al. Classification Prediction of Natural Gas Pipeline Leakage Faults Based on Deep Learning: Employing a Lightweight CNN with Attention Mechanisms. Processes. 2025; 13(11):3454.
https://doi.org/10.3390/pr13113454
Chicago/Turabian Style
Chen, Zhi, Zhibing Gu, Long Qin, Hongfu Mi, Changlin Zhou, Haoliang Zhang, Xingzheng Feng, Tao Song, Ke Wu, Xin Wang,
and et al. 2025. "Classification Prediction of Natural Gas Pipeline Leakage Faults Based on Deep Learning: Employing a Lightweight CNN with Attention Mechanisms" Processes 13, no. 11: 3454.
https://doi.org/10.3390/pr13113454
APA Style
Chen, Z., Gu, Z., Qin, L., Mi, H., Zhou, C., Zhang, H., Feng, X., Song, T., Wu, K., Wang, X., & Wang, S.
(2025). Classification Prediction of Natural Gas Pipeline Leakage Faults Based on Deep Learning: Employing a Lightweight CNN with Attention Mechanisms. Processes, 13(11), 3454.
https://doi.org/10.3390/pr13113454
