Results 131 to 140 of about 1,475 (247)
An integrated experimental, numerical, and explainable machine learning framework for the material‐geometric co‐optimization and multi‐objective Pareto design of robust composite adhesive joints. ABSTRACT The reliability of composite adhesive joints is compromised by non‐linear dependencies between material properties and manufacturing uncertainties ...
Sajjad Karimi
wiley +1 more source
Immediate variations in high-dimensional circulating immune cells following pancreatectomy. [PDF]
Garnier J +14 more
europepmc +1 more source
On the value of stochastic differential games
Wendell H Fleming +1 more
openaire +2 more sources
This research aims to enhance confidence in using AI/ML models and address unpredicted defects occurred during injection molding (IM) through guided machine fine‐tuning. Integrated stability analysis and parallel coordinate visualization coupled with perturbation analysis are presented to augment domain‐specific XAI applications in the IM industry ...
Chung‐Yin Lin +6 more
wiley +1 more source
Evolutionary Kuramoto dynamics unravels origins of chimera states in neural populations. [PDF]
Zdyrski T, Pauls S, Fu F.
europepmc +1 more source
Diagnosis of Portal Hypertension: Advancing Towards Non‐Invasive Solutions
This review systematically summarizes a full spectrum of non‐invasive diagnostic approaches for portal hypertension (PH), including imaging modalities, elastography, serum biomarkers, composite scoring systems and endoscopic ultrasound‐guided portal pressure gradient (EUS‐PPG), and analyzes their performance across different liver disease etiologies ...
Lijia Yin, Huikuan Chu, Ling Yang
wiley +1 more source
Social learning with complex contagion. [PDF]
Chiba-Okabe H, Plotkin JB.
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
Stochastic responses and marginal valuation. [PDF]
Hansen LP, Souganidis P.
europepmc +1 more source
How Does Our Degrading System Perform?
ABSTRACT We discuss the quality of performance of degrading systems when degradation is modeled by a stochastic process with independent increments and increasing sample paths. As an example, the gamma process is considered. First, for the continuously observed degradation, by comparing with the black‐box scenario (without observing degradation), the ...
Maxim Finkelstein +2 more
wiley +1 more source

