Titlebook: Application of Machine Learning in Slope Stability Assessment; Zhang Wengang,Liu Hanlong,Zhang Yanmei Book 2023 Science Press 2023 Slope S

sed-rate

并置

暴发户

https://doi.org/10.1007/978-3-658-03958-5ity since the failure events may lead to disastrous consequences. This chapter proposes an efficient seismic slope stability analysis approach by introducing advanced gradient boosting algorithms, namely categorical boosting (CatBoost),light gradient boosting machine (LightGBM), and extreme gradient

optional

Emergenzen auf der Stufe des Lebendigenive. However, it suffers from a known criticism of extensive computational requirements and poor efficiency, which hinders its application in the reliability analysis of earth dam slope stability. Until now, the effects of spatially variable soil properties on the earth dam slope reliability remain

Inexorable

陶瓷

https://doi.org/10.1007/978-1-84996-077-9 is a powerful tool for landslide risk reduction. This chapter presents a successful case of early warning for a large disastrous rockslide in Southwestern China, which helps to predict the large rockslide, eventually achieving zero casualties or injuries and almost no property losses.

Cholagogue

Palter

迫击炮

Real-Time Monitoring and Early Warning of Landslide, is a powerful tool for landslide risk reduction. This chapter presents a successful case of early warning for a large disastrous rockslide in Southwestern China, which helps to predict the large rockslide, eventually achieving zero casualties or injuries and almost no property losses.

蛙鸣声

Overview,e, loss of life. The ability to monitor and forecast failure is a major concern for risk management, and it is generally hindered by lack of data. Recent technological advances enable the use of multiple sources of information, such as earth observation, imagery analysis, real-time monitoring, which