More information: Ziwang Luo et al, Advances in Fiber-Based Wearable Sensors with Machine Learning, Advanced Devices & Instrumentation (2024). DOI: 10.34133/adi.0054 Provided by Advanced Devices ...

Researchers compared four different machine learning algorithms for their successful classification capabilities: K-nearest neighbor (KNN), support vector machine (SVM), random forest (RF), and ...

Advanced connectivity brings data—and knowledge—to the plant floor operator. ... Machine Learning: Sensors Get Linked In. Aug. 22, ... Using machine learning algorithms, ...

It’s not without challenges, of course. It requires more sensors to be architected into a design, a cohesive data strategy for how to utilize those sensors, as well as new machine learning algorithms ...

The paper identifies several technological enablers that together define a roadmap for greener connectivity. Low Power Wide ...

Although AI and machine learning (ML) algorithms are getting ever better at doing more with less, we still often need to bring together data from multiple sources for them to produce results that ...

Using wearable sensors and advanced machine learning algorithms, researchers offer a practical and cost-effective solution for capturing detailed movement data, essential for balance analysis.

By utilizing fluorescent sensors and machine learning algorithms, the system aims to provide real-time data on multiple biomarkers, ... The integration of inflammation sensors, ...

Various fiber sensors are discussed based on their working principles and dimensions, and an overview of the machine learning algorithms that have been applied with these fiber sensors is presented.