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 ...
Sovos Expands Sovi AI to Increase Speed and Accuracy of Product Tax Code Classification and Data Mapping in Indirect Tax SuiteThe Associated PressATLANTA ATLANTA–(BUSINESS WIRE)–Nov 11, 2025– Sovos, ...
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 ...
The discovery of gravitational waves in 2015 marked a turning point in our understanding of the universe. But detecting these ...
Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...
Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, has developed a ...
Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.
Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...
A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because of factors including habitat alterations, natural resources being ...
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