How machine learning helps MEMS actuators move in perfect lines

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...
Scientific Research Publishing

A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data ()

Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .
Machine Design

Linear Motion Optimization for Higher-Throughput Industrial Sawmills

Moving heavy materials through cutting, polishing and coating stages requires precise balancing of load capacity and motion speed. Here’s how the right linear guidance selection and configuration can ...
IEEE

Joint Optimization of Spectrum and Power Control in 6G Multi-UAV Networks: Managing Data Redundancy

Abstract: This paper investigates the joint spectrum and energy efficiency in multimanned aerial vehicle (Multi-UAV) communication network in environments beyond the fifth generation and sixth ...
IEEE

Optimizing Operations Management Through Machine Learning Applications

Abstract: Operations management has traditionally relied on statistical forecasting and linear optimization models, but such methods struggle to address the scale, uncertainty, and interdependencies ...