In recent years, China has experienced rapid economic growth and accelerated urban expansion, accompanied by increasing environmental exploitation. These activities have intensified the frequency and ...

Ensemble learning is widely applied in various real-world settings, with Bagging and Boosting being two core algorithms. Although these techniques have been extensively investigated through ...

In earthquake-prone areas like Japan, there is a need for better prediction of soil stability to mitigate liquefaction risks. Towards this end, researchers have used machine learning models, including ...