Credit scoring is an effective tool for banks and lending companies to manage the potential credit risk of borrowers. Machine learning algorithms have made grand progress in automatic accurate discrimination good bad Notably, ensemble approaches are a group powerful tools enhance performance scoring. Random forest (RF) Gradient Boosting Decision Tree (GBDT) become mainstream methods precise RF ...

Abstract The robustness of switchgears has critical impacts on the general efficiency power distribution systems. Faulty lead to many unwanted complications for utility bodies, which in turn even bigger issues. In this paper, a remote arcing fault sensing technique is proposed using ELM. By analysing sonic waves emitted, method capable detect possible faults switchgears. Tests and experiments h...