Abstract: Modeling of a larger mechanical system is inherently difficult due to the complexity of individual processes and the interaction between multiple processes. Using a polynomial model based on ...
What do you get when you mix fire's power, electricity's reach, math's precision, and language's connection? AI—humanity's ...
Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.
Sandia National Labs today released an update on its neuromorphic computing research, reporting that these systems, inspired ...
QuantumSpeed technology represents a compelling investment opportunity tied directly to the modernization of global defense infrastructure and the premium placed on speed-driven decision advantage, ...
Earthquakes happen daily, sometimes with devastating consequences, yet predicting them remains out of reach. What scientists ...
Earth system box models are essential tools for reconstructing long-term climatic and environmental evolution and uncovering ...
Abstract: Model predictive control (MPC) has been deemed as an attractive control method in motor drives by virtue of its simple structure, convenient multi-objective optimization, and satisfactory ...
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