Tech Xplore

New smart bicycle can tell when riders mean to turn—and when they may be falling

Two-wheeled vehicles with conventional stability-control systems must lean to change direction, making it difficult for rider ...
IEEE

Detection of Eavesdropping Attack in UAV-Aided Wireless Systems: Unsupervised Learning With One-Class SVM and K-Means Clustering

Abstract: A wireless relaying system in the presence of an active eavesdropper is considered. The system is assumed to use an unmanned aerial vehicle (UAV) as a relay and the uplink phase is for ...
IEEE

Unsupervised Learning Using Charge-Trap Transistors

Abstract: Unsupervised learning is demonstrated using a device ubiquitously found in today's technology: a transistor with high-k -metal gate. Specifically, the charge-trapping phenomenon in the ...
Forbes

Unsupervised Learning: The Revolution Powering Financial Insights

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. As machine learning continues to reshape the financial services industry, most headlines are ...
eLife

Unsupervised learning of haptic material properties

When touching the surface of an object, its spatial structure translates into a vibration on the skin. The perceptual system evolved to translate this pattern into a representation that allows to ...
Frontiers

Unsupervised Few-Shot Feature Learning via Self-Supervised Training

Learning from limited exemplars (few-shot learning) is a fundamental, unsolved problem that has been laboriously explored in the machine learning community. However, current few-shot learners are ...
Frontiers

The Application of Unsupervised Clustering Methods to Alzheimer’s Disease

Clustering is a powerful machine learning tool for detecting structures in datasets. In the medical field, clustering has been proven to be a powerful tool for discovering patterns and structure in ...