Results 141 to 150 of about 40,132 (204)
Diffusional magnetic resonance imaging anonymizing with variational autoencoder
Quantitative Biology, Volume 14, Issue 2, June 2026.Abstract Anonymization is a crucial de‐identification technique that protects data privacy while ensuring its utility for model building. Current generative models such as generative adversarial networks and variational auto‐encoders (VAEs) have been applied to medical image anonymization but mainly focus on general image features, lacking specificity ...
Yunheng Shen +4 more
wiley +1 more source
Statistics in Medicine, Volume 45, Issue 13-14, June 2026.ABSTRACT Robust Mixture Prior (RMP) is a popular Bayesian dynamic borrowing method, which combines an informative historical distribution with a less informative component (referred to as the robustification component) in a mixture prior to enhance the efficiency of hybrid‐control randomized trials.
Marco Ratta +3 more
wiley +1 more source
A Neural Operator Emulator for Coastal and Riverine Shallow Water Dynamics
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.Abstract Coastal regions and river floodplains are particularly vulnerable to the impacts of extreme weather events. Accurate real‐time forecasting of hydrodynamic processes in these areas is essential for infrastructure planning and climate adaptation.
Peter Rivera‐Casillas +9 more
wiley +1 more source
A novel artificial bee colony approach of live virtual machine migration policy using Bayes theorem. [PDF]
ScientificWorldJournal, 2013 Xu G, Ding Y, Zhao J, Hu L, Fu X.
europepmc +1 more source
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.Abstract Data assimilation (DA) plays a critical role in reducing simulation uncertainty in hydrological systems by leveraging available observations to estimate model states and/or parameters. Among DA methods, the ensemble smoother (ES) has emerged as an attractive option for parameter estimation due to its computational efficiency and ...
Jiangjiang Zhang +4 more
wiley +1 more source
Bayesian Full‐Waveform Monitoring of CO2 Storage With Fluid‐Flow Priors via Generative Modeling
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.Abstract Quantitative monitoring of subsurface changes is essential for ensuring the safety of geological CO2 ${\text{CO}}_{2}$ sequestration. Full‐waveform monitoring (FWM) can resolve these changes at high spatial resolution, but conventional deterministic inversion lacks uncertainty quantification and incorporates only limited prior information ...
Haipeng Li +3 more
wiley +1 more source
Robust Calibration of Hydrological Models for Simulating Unseen Flood Extremes
Water Resources Research, Volume 62, Issue 6, June 2026.Abstract Calibrating conceptual rainfall‐runoff models to predict a catchment's response to extreme rainfall events is a significant challenge, especially when historical data is limited and the event exceeds recorded extremes. This challenge is amplified in non‐stationary environments where the frequency and intensity of extreme rainfall and floods ...
Caleb Dykman +3 more
wiley +1 more source
In this paper the author tries to give general conditions for the existence of Bayes estimates and for the consistency of sequences of Bayes estimates. In Section 3 we prove existence theorems for Bayes estimates, which contain those of [3], as a special
Strasser, Helmut
core
Two‐Layer Anisotropy Beneath Subduction Zones: Bayesian Inversion
Journal of Geophysical Research: Solid Earth, Volume 131, Issue 6, June 2026.Abstract Shear‐wave splitting measurements have the potential to constrain multiple layers of anisotropy and thereby enhance depth resolution. Using the formulation of Silver and Savage (1994, https://doi.org/10.1111/j.1365‐246x.1994.tb04027.x), previous studies have employed deterministic grid‐search approaches to identify best‐fitting two‐layer ...
Cheng‐Chien Peng +2 more
wiley +1 more source