Scientists have developed a system that uses structure-borne sound sensors and machine learning to ...

Low-cost, wearable sensors could increase access to care for patients with Parkinson's disease. New machine-learning approaches and a baseline of data from healthy older adults improve the accuracy of ...

Parkinson's comes on slowly, and diagnosing the often-devastating movement disorder, particularly in its early stages, usually entails having patients perform a variety of mobility tasks, observing ...

Researchers combined a low-cost IoT monitoring prototype with a Bayesian-optimized XGBoost model that achieved the highest ...

Predictive maintenance using Python and machine learning to analyse machine sensor data and predict failures. - Vahid-8185/predictive-maintenance-analysis ...

An interpretable machine learning framework classified rock mass conditions along China's Beishan URL spiral ramp from stable ...

A new fabric-based touch sensor used machine learning to control mobile apps, video games and other devices while integrated into clothing. A new study from NC State University combines ...

The inner circle classifies fiber sensors into ‘Macroscopical’ and ‘Microscopical’ according to the fiber dimension. The outer pie chart shows the classification according to the working principles.

Predictive maintenance systems spot machine failures early by measuring how motors, pumps, fans and gearboxes vibrate and ...