但是,在术中很难选择一种安全的椎体调整方式,也缺乏应用调整方式的指征,因而难以预防这些并发症的发生。
However, it is difficult to select a safe alignment during surgery, and no indicators of the appropriate alignment have been available to preclude these complications.
应用调整好的神经网络模型对沪宁线检测数据进行测试,结果表明,该模型对路基翻浆冒泥病害的识别率达90%以上。
The adjusted network is used to test the GPR data of the Shanghai-Nanjing Railway. The results indicate that the model achieves a recognition rate of subgrade mud pumping defects above 90%.
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