Bayesian network reasoning and machine learning with multiple data features: air pollution risk monitoring and early warning     

Xie  Xiaoliang  Zuo  Jinxia  Xie  Bingqi  Dooling  Thomas A.  Mohanarajah  Selvarajah 《Natural Hazards》2021,107(3):2555-2572

Natural Hazards - From a macro-perspective, based on machine learning and data-driven approach, this paper utilizes multi-featured data from 31 provinces and regions in China to build a Bayesian...  相似文献   

Can we detect trends in natural disaster management with artificial intelligence? A review of modeling practices     

Tan  Ling  Guo  Ji  Mohanarajah  Selvarajah  Zhou  Kun 《Natural Hazards》2021,107(3):2389-2417

Natural Hazards - There has been an unsettling rise in the intensity and frequency of natural disasters due to climate change and anthropogenic activities. Artificial intelligence (AI) models have...  相似文献