Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...
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 ...
By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.