Ye, Y.; Li, W.; Yang, Z.; Li, X.; Wang, Q.
The Prediction of Aquifer Water Abundance in Coal Mines Using a Convolutional Neural Network–Bidirectional Long Short-Term Memory Model: A Case Study of the 1301E Working Face in the Yili No. 1 Coal Mine. Water 2025, 17, 1595.
https://doi.org/10.3390/w17111595
AMA Style
Ye Y, Li W, Yang Z, Li X, Wang Q.
The Prediction of Aquifer Water Abundance in Coal Mines Using a Convolutional Neural Network–Bidirectional Long Short-Term Memory Model: A Case Study of the 1301E Working Face in the Yili No. 1 Coal Mine. Water. 2025; 17(11):1595.
https://doi.org/10.3390/w17111595
Chicago/Turabian Style
Ye, Yangmin, Wenping Li, Zhi Yang, Xiaoqin Li, and Qiqing Wang.
2025. "The Prediction of Aquifer Water Abundance in Coal Mines Using a Convolutional Neural Network–Bidirectional Long Short-Term Memory Model: A Case Study of the 1301E Working Face in the Yili No. 1 Coal Mine" Water 17, no. 11: 1595.
https://doi.org/10.3390/w17111595
APA Style
Ye, Y., Li, W., Yang, Z., Li, X., & Wang, Q.
(2025). The Prediction of Aquifer Water Abundance in Coal Mines Using a Convolutional Neural Network–Bidirectional Long Short-Term Memory Model: A Case Study of the 1301E Working Face in the Yili No. 1 Coal Mine. Water, 17(11), 1595.
https://doi.org/10.3390/w17111595
