Abstract: Precipitable water vapor (PWV) has caught the interest of researchers for extensive study on weather prediction in recent times. Nevertheless, the prediction of rainfall cannot be solely ...
Researchers at the University of Maryland and Tilburg University in the Netherlands have produced an AI-driven innovation to ...
Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
Self-supervised reinforcement learning is a technique where agents learn useful representations and skills from the environment through self-generated tasks, such as predicting next states or learning ...
And meta-regression further revealed an evaluation in predictive accuracy in prospective study designs (regression coefficient=2.289, P=0.001). Conclusions: Unlike previous narrative reviews, this ...
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