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 ...
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: Despite the extensive literature on dual-process theories of cognition, there remains limited understanding of how automatic operations (System 1) can converge toward controlled operations ...
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