Guo, H.; Cui, D.; Li, Q.; Chen, Q.; Lai, L.
Prediction and Reliability Analysis of the Pressuremeter Modulus of the Deep Overburden in Hydraulic Engineering Based on Machine Learning and Physical Mechanisms. Appl. Sci. 2025, 15, 10643.
https://doi.org/10.3390/app151910643
AMA Style
Guo H, Cui D, Li Q, Chen Q, Lai L.
Prediction and Reliability Analysis of the Pressuremeter Modulus of the Deep Overburden in Hydraulic Engineering Based on Machine Learning and Physical Mechanisms. Applied Sciences. 2025; 15(19):10643.
https://doi.org/10.3390/app151910643
Chicago/Turabian Style
Guo, Hanyu, Deshan Cui, Qingchun Li, Qiong Chen, and Lin Lai.
2025. "Prediction and Reliability Analysis of the Pressuremeter Modulus of the Deep Overburden in Hydraulic Engineering Based on Machine Learning and Physical Mechanisms" Applied Sciences 15, no. 19: 10643.
https://doi.org/10.3390/app151910643
APA Style
Guo, H., Cui, D., Li, Q., Chen, Q., & Lai, L.
(2025). Prediction and Reliability Analysis of the Pressuremeter Modulus of the Deep Overburden in Hydraulic Engineering Based on Machine Learning and Physical Mechanisms. Applied Sciences, 15(19), 10643.
https://doi.org/10.3390/app151910643