Fraud problems in loan application assessment cause significant losses for finance companies worldwide, and much research has focused on machine learning methods to improve the efficacy of fraud detection in some financial domains. However, diverse information falsification in individual fraud...

China's new energy vehicle (NEV) industry has grown rapidly and led the world recently, benefiting from the policy incentives with fiscal subsidies as a key component. Fiscal subsidies have been drastically cut in recent years, causing dramatic fluctuations in the industrial chain. Based on...

Day-to-day traffic (DTD) dynamic systems have attracted much attention recently as a powerful tool to describe the evolution of network flows over time. A number of DTD models adopting various behavioral principles have been proposed, but for most of them, either their assumptions are introduced...