Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...
New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...
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 ...
Electra announces a major milestone with the successful validation of its EVE‑Ai™ Adaptive Controls platform, enabling ...
Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...
The American Control Conference (ACC), the annual conference of the American Automatic Control Council (AACC), will offer ...
Economic models used by governments, central banks and investors are increasingly understating physical climate risk because ...
This study introduces a newly optimized triangular-finger electrostatic comb-drive actuator designed to significantly enhance force intensity and travel range within a compact footprint.
Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...
Better understanding of the design, implementation and operation of these cyber-physical systems can enable optimized process ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results