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 ...

Abstract: The prediction and modeling of ionospheric total electron content (TEC) have consistently been a focal point for researchers, as it holds significant implications for satellite positioning, ...

Abstract: Permafrost, a major component of the cryosphere, is undergoing rapid degradation due to climate change, human activities, and other external disturbances, profoundly impacting ecosystems, ...

West Nile virus (WNV) has been the dominant cause of mosquito-borne illness in the United States since its introduction into North America in 1999. There are no vaccines nor medications to prevent or ...

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk. The ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This study used machine learning models to investigate the potential of biosorbents ...

Marine cone snails are host to a family of dangerous neurotoxins. Very little is known about how those toxins interact with the human body, making this an area of interest for medical drug research ...

Quantum machine learning is a hybrid approach that combines classical data with quantum computing methods. In classical computing, data is stored in bits encoded as a 0 or 1. Quantum computers use ...

Machine learning (ML) has generated a buzz in actuarial modelling, but adoption in areas like reserving has lagged. Dynamo Analytics' Psicle platform changes this, as Stephan Marais, Head of R&D at ...

Background: Enteral Nutrition-Associated Diarrhea (ENAD) is a common complication in critically ill patients, significantly impacting clinical outcomes. Accurately predicting the risk of ENAD is ...