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 ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...
Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
Introduction: Peripheral Artery Disease (PAD) is a progressive vascular disorder impairing mobility, raising fall risk, and reducing quality of life. Early detection is key to preventing amputations ...
Researchers apply AI and machine learning to livestock waste recycling, improving phosphorus recovery, reducing pollution, and advancing sustainable farming practices AI and machine learning are ...
Biochar, a carbon-rich material made from organic waste, is gaining attention for its ability to improve soils, clean water, and capture carbon. A new review in Biochar X highlights how machine ...
Steal a Brainrot Fuse Machine lets players combine up to four Brainrots for new, rare ones. There are two new secret Brainrots and several fusion combos with unique odds. Players can speed up fusions ...
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