S-shaped Utility Maximization with VaR Constraint and Partial Information. [PDF]
Zhu D, Davey A, Zheng H.
europepmc +1 more source
In Situ Curing‐Enabled 3D Printing of Continuous Fiber‐Reinforced Thermosetting Composites
In situ curing‐enabled the 3D printing of continuous fiber/thermoset composites, which were reviewed. Particularly, four types of in situ curing, were discussed, including Radiation‐induced curing, photothermal curing, electrothermal curing, and frontal polymerization. AI‐integrated printing was also analyzed.
Xiaofei Wu +2 more
wiley +1 more source
A novel adaptive quasi-Newton-type update and its global convergence without Lipschitz condition for constrained system of nonlinear monotone equations. [PDF]
Ahmed K +7 more
europepmc +1 more source
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley +1 more source
Reply: Generative AI-Powered Virtual Assistant for Guideline-Directed Medical Therapy Optimization. [PDF]
Navarese EP +4 more
europepmc +1 more source
An improved marriage in honey bees optimization algorithm for single objective unconstrained optimization. [PDF]
Celik Y, Ulker E.
europepmc +1 more source
We document for the first time how the assimilation of CS2SMOS observations improves the model representation of Arctic sea‐ice thickness (SIT) and its variability: biases are reduced (top row), while excessive variability in the Beaufort Sea and lack of variability in the ice pack are both corrected (bottom row).
Jiping Xie +3 more
wiley +1 more source
Closed-Form Approximations of Range Mutual Information for Integrated Sensing and Communication Systems. [PDF]
Lai Z, Luo H, Wang Y, Zhang Y, Jin B.
europepmc +1 more source
Epistemic and aleatoric uncertainty quantification in weather and climate models
Aleatoric and epistemic uncertainties over time on weather and climate time‐scales, estimated through ensembles that sample aleatoric and epistemic uncertainty using Bayesian neural networks for parameterisations in the Lorenz 1996 model. The spread shows the 16th and 84th percentiles.
Laura A. Mansfield +1 more
wiley +1 more source
A Conjugate Gradient Algorithm with Function Value Information and N-Step Quadratic Convergence for Unconstrained Optimization. [PDF]
Li X, Zhao X, Duan X, Wang X.
europepmc +1 more source

