Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...
Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
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 ...
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has ...
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...
In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
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