We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.
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 ...
Access to jobs is essential for economic growth. In Africa, unemployment rates are notably high. This paper reexamines the ...
Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...
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 ...
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, ...
Effective monitoring of development aid is the foundation for assessing the alignment of flows with their intended ...
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