A ML-based probabilistic clustering approach for optimal CH selection based on residual energy, node density, and average network energy; A sleep scheduling mechanism to deactivate redundant nodes in ...

Melt viscosity is regarded as a key quality indicator of the polymer melt in polymer extrusion processes. However, limitations such as disturbances to the melt flow and measurement delays of the ...

Implementing robust sensor security is essential in connected systems. Compromised sensors can feed corrupt, inaccurate data ...

Businesses can harness sensor and machine data with the generative AI speed layer. In partnership withKinetica Consider a supply chain where delivery vehicles, shipping containers, and individual ...

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 ...

AI-powered tools are rapidly changing the automotive repair industry, shifting it from reactive fixes to predictive maintenance. Automakers and repair shops are using machine learning, sensor data, ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...