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 ...

Abstract: The sizing of microgrids with energy storage systems can be a complex optimization problem, so accurate models of battery degradation are often discarded to avoid intractable computational ...

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 .

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Currently, digital transformation has become the core proposition of global industrial upgrading, and the manufacturing industry is also undergoing a disruptive ...

Economic models used by governments, central banks and investors are increasingly understating physical climate risk because ...

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 ...

Abstract: The paper presents a computationally efficient nonlinear hybrid model for the analysis of surface-mounted permanent magnet machines under load conditions, aimed at preliminary design and ...