Results 211 to 220 of about 3,014,362 (294)
The Quest for Model Uncertainty Quantification: A Hybrid Ensemble and Variational Data Assimilation Framework. [PDF]
Abbaszadeh P, Moradkhani H, Daescu DN.
europepmc +1 more source
Objective The objective of this article is to identify perceptions of SLE patients regarding artificial intelligence (AI)‐based online symptom assessment tools, and the potential of these tools to address diagnostic barriers. Methods Adults from our SLE research cohort were invited to participate in 60‐90 minute virtual focus groups concerning their ...
Olivia A. Stein +7 more
wiley +1 more source
Correction for Porwal et al., Comparing methods for statistical inference with model uncertainty. [PDF]
europepmc +1 more source
Scalable optimal Bayesian classification of single-cell trajectories under regulatory model uncertainty. [PDF]
Hajiramezanali E +4 more
europepmc +1 more source
Objectives While the definition of a gout flare is well established, the state of gout flare resolution has not yet been defined. This study aimed to explore patients’ experiences and perceptions of gout flare resolution. Methods Semi‐structured interviews were conducted with 24 people with gout, guided by open‐ended questions exploring their ...
Sarah Stewart +5 more
wiley +1 more source
Power and sample size for dose-finding studies with survival endpoints under model uncertainty. [PDF]
Deng Q +5 more
europepmc +1 more source
A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg +5 more
wiley +1 more source
Managers, modelers, and measuring the impact of species distribution model uncertainty on marine zoning decisions. [PDF]
Costa B, Kendall M, McKagan S.
europepmc +1 more source
Thermoreflectance Detection of Point Defects Resulting from Focused Ion Beam Milling
Focused ion beam (FIB) milling is a common tool for nanoscale material processing, however irradiation damage, redeposition, and contamination can occur. We use several characterization tools to show FIB‐induced effects beyond 1 mm from the milled area.
Thomas W. Pfeifer +3 more
wiley +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source

