Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...
The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...
Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...
In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
Muons tend to scatter more from high-atomic-number materials, so the technique is particularly sensitive to the presence of materials such as uranium. As a result, it has been used to create systems ...
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