Studying frailty is crucial for enhancing the health and quality of life among older adults, refining healthcare delivery methods, and tackling the obstacles linked to an aging demographic. Approaches ...

Traditional reinsurance underwriting often relied on annual renewal cycles, limited historical datasets, and delayed loss ...

Introduction The position of Senior Data Scientist is vacant. The Senior Data Scientist will report directly to the Senior Manager: Data Analytics and forms part of the Research and Development ...

Introduction The position of Senior Data Scientist is vacant. The Senior Data Scientist will report directly to the Senior Manager: Data Analytics and forms part of the Research and Development ...

Recently, machine learning (ML) techniques have gained widespread diffusion, since they have been successfully applied in several research fields. This paper investigates the effectiveness of advanced ...

In an age where data drives decisions and automation defines excellence, the insurance industry stands at the cusp of a digital renaissance. At the ...

In summary, integrating advanced machine learning models with efficient optimization algorithms not only enhances the predictive accuracy of MCCM mechanical properties but also offers a novel pathway ...

The key function of banks in the real world is endogenously creating (inside) money. But they do so facing solvency, liquidity and maturity risks and being subject to regulatory and demand constraints ...

The new machine learning model developed by Plonsky and his colleagues draws from a behavioral science framework known as BEAST (Best Estimate and Sampling Tools). This is a model based on ...

This work uses ML models to accurately predict the mercury removal efficiency of carbon-based adsorbents and conducts the engineering validation.