There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Marine oil spills are among the most severe environmental hazards, threatening aquatic ecosystems, coastal economies, and biodiversity. Traditional detection methods, based on manual observation, ship ...

By a News Reporter-Staff News Editor at Insurance Daily News-- Data detailed on Machine Learning have been presented. The news correspondents obtained a quote from the research from Texas State ...

This paper uses cross-sectional surveys of households over 2007–21 from Thailand’s Socio-Economic Expenditure Survey to ...

Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity. It detects small electrical signals produced when neurons in the brain ...

This paper represents the first attempt to examine investor behaviour for green stocks through the lens of return co-movement ...

This paper introduces a novel AI-enhanced retirement planning platform that integrates behavioral economics principles with advanced machine learning techniques to optimize financial decision-making.

Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a ...

Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...

This AI-driven intrusion detection system integrates blockchain and federated learning, ensuring robust security for 6G ...

Effective monitoring of development aid is the foundation for assessing the alignment of flows with their intended ...