In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...
Black-box optimization, particularly Bayesian optimization, is a practical approach for weather-intervention design, achieving meaningful rainfall ...
Accurate sunlight data is becoming essential for the clean-energy transition, but tracking how much solar radiation reaches ...
Abstract: Bayesian optimization (BO) is a powerful surrogate-assisted algorithm for solving expensive black-box optimization problems. While BO was developed for centralized optimization, the ...
Abstract: In nonlinear system identification, Volterra kernel estimation based on regularized least squares can be performed by taking a Bayesian approach. In this framework, covariance structures ...
Moving forward requires coordinated technical, policy, and educational responses. An outright ban on AI in peer review, as is ...
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Bayesian Optimization (BO) is the mainstream approach—using a Gaussian Process (GP) surrogate to model the objective, an acquisition function (EI, UCB) to balance exploration and exploitation, and ...
Keywords Bayesian neural network, dual output prediction, leaf area index (LAI), leaf nitrogen accumulation (LNA), multimodal information, wheat Citation Xu K, Cao D, Tai Q, Wang H, Ni J, Hu Y and ...
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