Machine learning has transformed tool condition monitoring by enabling non-invasive, data-driven assessment of cutting tool health. Modern systems deploy a range of sensors—vibration, cutting force, ...

The terrestrial water cycle is a fundamental component of Earth's climate system, governing the exchange of water between land surfaces and the atmosphere.

Posture detection and monitoring systems harness a range of sensing modalities—from pressure arrays and force-resistive sensors to inertial measurement units and camera-based tracking—combined with ...

Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify metabolism-related molecular profile differences between patients with colorectal cancer ...

Explore how machine learning enhances energy monitoring in smart homes with CEO Mike Phillips from Sense. This interview covers the application of AI in tracking energy use, detecting potential device ...

Patent covers machine learning techniques for ECG denoising, rhythm classification, sample-level labelling, wearable cardiac ...

Please provide your email address to receive an email when new articles are posted on . Machine learning can use patient-reported outcomes to identify low disease activity in rheumatoid arthritis.

If you liked this story, share it with other people. Scientists have combined passive acoustic monitoring, machine-learning tools and aerial surveys to estimate the population of North Atlantic right ...

Cardiovascular disease is the leading cause of death worldwide. Hypertension, as one of the predisposing factors of cardiovascular disease, is an important reason for the high incidence of ...

More than 21% of U.S. adults experience depression, greatly impacting their quality of life. Many people with mild‑to‑moderate depression can improve their symptoms by adjusting daily habits like ...

Using smartwatch and phone app data, machine‑learning models identified each participant’s primary lifestyle triggers of low mood, enabling coaches to create individualized mood improvement plans.