The prevalence of insurance fraud in the auto industry poses significant financial challenges and undermines customer trust.Despite the application of machine learning methods to reduce these losses, current literature lacks effective tuned algorithms for detecting fraud in insurance claims.To address this gap, this study proposes an ensemble-based
A considerable body of academic literature has terracotta charger lauded political satirists as rebellious defenders of democracy and free speech against an establishment.Although satire is not always rebellious, this reputation of satirists and of satire may itself be the object of partisan capture.In this article, it is the object of capture by r
Bending resistance is regarded as a significant factor in achieving bob the boxcutter the widespread application of copper foils.This paper proposed a novel double-cross rolling process, which improved the bending fatigue life of copper foils by as much as 101% in comparation with conventional rolling.In this study, an investigation was conducted i
In this paper, we present an in-depth head total joy 2023 analysis of Central Bank Digital Currencies (CBDCs), focusing on their definition, purpose, design considerations and recent developments.We also delve into the potential advantages of CBDCs for Asia, such as enhancing convenience, precisely quantifying economic metrics, managing anonymity,
We address the problem of efficiently and effectively compress density operators (DOs), by providing an efficient procedure for learning the most likely DO, given a chosen set of partial information.We explore, in the context of quantum information theory, the generalisation of the maximum entropy estimator for DOs, when the direct dependencies bet