Shen, S.; Wang, B.; Zeng, L.; Chen, S.; Xie, L.; She, Z.; Huang, L.
Methods for Identifying Effective Microseismic Signals in a Strong-Noise Environment Based on the Variational Mode Decomposition and Modified Support Vector Machine Models. Appl. Sci. 2024, 14, 2243.
https://doi.org/10.3390/app14062243
AMA Style
Shen S, Wang B, Zeng L, Chen S, Xie L, She Z, Huang L.
Methods for Identifying Effective Microseismic Signals in a Strong-Noise Environment Based on the Variational Mode Decomposition and Modified Support Vector Machine Models. Applied Sciences. 2024; 14(6):2243.
https://doi.org/10.3390/app14062243
Chicago/Turabian Style
Shen, Sihongren, Bo Wang, Linfeng Zeng, Sheng Chen, Liujun Xie, Zilong She, and Lanying Huang.
2024. "Methods for Identifying Effective Microseismic Signals in a Strong-Noise Environment Based on the Variational Mode Decomposition and Modified Support Vector Machine Models" Applied Sciences 14, no. 6: 2243.
https://doi.org/10.3390/app14062243
APA Style
Shen, S., Wang, B., Zeng, L., Chen, S., Xie, L., She, Z., & Huang, L.
(2024). Methods for Identifying Effective Microseismic Signals in a Strong-Noise Environment Based on the Variational Mode Decomposition and Modified Support Vector Machine Models. Applied Sciences, 14(6), 2243.
https://doi.org/10.3390/app14062243
