We propose machine learning-based fall detection algorithm using multi-SVM with linear, quadratic or polynomial kernel function, and k-NN classifier. Eight kinds of falling postures and seven types of ...

In these situations, a soft sensor can mimic an identical asset that has all the correct sensors in place. Models, uses and limitations. Machine learning exercises follow a circular pattern. First, ...

One common use of unsupervised learning is in clustering, where the algorithm groups similar items together. For instance, e-commerce websites use unsupervised learning to segment customers into ...

Machine learning algorithm decodes immune system’s hidden data for disease ... the machine-learning based technique can also be optimized to detect ... which act like molecular threat sensors.

Tohoku University. (2024, December 10). New algorithm boosts multitasking in quantum machine learning. ScienceDaily. Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2024 / 12 ...

A new sensor technology, utilizing VOC detection in bodily fluids, could rapidly identify bacterial infections and resistance ...

Torc is now sponsoring and collaborating in Stanford University's research to improve machine learning safety. The ...

Tiny sensors could soon be able to "sniff" bodily fluids to diagnose bacterial infections and detect antimicrobial resistance ...

This article debunks the myths surrounding the application of machine-learning technologies to smart edge devices.

What if people could detect cancer and other diseases with the same speed and ease as a pregnancy test or blood glucose meter? Researchers at the Carl R. Woese Institute for Genomic Biology are a step ...

In this project, a wearable sensor-based fall detection system using a machine-learning algorithm had been developed. An application called ‘AndroSensor’ on a smartphone, that retrieves real-time data ...