Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...
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 ...
A new plasma framework reframes ignition, sustainment, and degradation, redefining energy behavior for next-generation ...
Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Better understanding of the design, implementation and operation of these cyber-physical systems can enable optimized process ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
In December 2019, industry leaders gathered their boldest predictions for retail’s next chapter. They anticipated retail ...
Tampere, Finland, Feb. 11, 2026 (GLOBE NEWSWIRE) -- Unikie's recent Innovation Summit at Nokia Arena brought together companies and experts interested in applying innovative AI solutions in their ...
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BackgroundAs pivotal drivers of smart cities, mega-mobility systems integrate large-scale transportation networks, communication nodes, and energy ...
Abstract: Green computation has emerged as one of the key goals of cloud resource provisioning. The cloud resource clusters (CRCs) composed of heterogeneous performance servers are powered by ...
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