The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

1. Using machine learning algorithms, the DXM Wireless Gateway/Controller is able to gain key insights into machine operation. (Courtesy: Banner Engineering) These wireless controllers facilitate ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior performance compared to conventional non-machine learning ... and Springer, ...

A graphene sensor trained by machine learning can now taste like a human, identifying both basic and complex flavors with ...

After having a general understanding of machine learning algorithms, this article classifies and summarizes fiber sensors based on their working principles and fiber sizes. As shown in Figure 3 ...

Soft sensors, also known as virtual sensors, are software that can process hundreds of measurements in combination. Plant managers who want to add soft sensors may be overwhelmed by the scope of ...

Tiny sensors, similar to breathalyzers, could "sniff out" bacterial infections and detect antimicrobial-resistant bacteria in ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...