Results 61 to 70 of about 7,687 (182)
Magnetic Resonance in Medicine, Volume 95, Issue 6, Page 3584-3593, June 2026.ABSTRACT Purpose Numerical simulations can be adopted to aid the evaluation of the interaction between switched gradient fields and metallic implants and estimate the possible temperature increase. Anyway, an analysis of the consistency of their prediction with experiments is lacking, differently from what can be found for exposure to radiofrequency ...
Umberto Zanovello +5 more
wiley +1 more source
The Optimal Uncertainty Algorithm in the Mystic Framework [PDF]
, 2012 We have recently proposed a rigorous framework for Uncertainty Quantification (UQ) in which UQ objectives and assumption/information set are brought into the forefront, providing a framework for the communication and comparison of UQ results.
McKerns, M. +4 more
core +1 more source
Eruption Source Parameters in Volcanic Plume Modeling: Advances, Challenges, and Future Directions
Reviews of Geophysics, Volume 64, Issue 2, June 2026.Abstract Accurately predicting the atmospheric dispersion of volcanic ash and gases is crucial for both scientific understanding and hazard mitigation. Estimating Eruption Source Parameters (ESP), such as mass eruption rate, plume height, duration, and particle size distribution and properties, remains challenging due to the complex nature of volcanic ...
A. Costa +4 more
wiley +1 more source
Long‐Term Historical Slowdown in Atlantic Meridional Overturning Circulation
Environmetrics, Volume 37, Issue 4, May 2026.ABSTRACT Atlantic Meridional Overturning Circulation (AMOC) is an important component of the climate system that profoundly affects the climate of surrounding areas. AMOC is expected to slowdown due to anthropogenic climate change. The scientific community has long been at odds regarding how much AMOC has already slowed down, and whether there was any ...
Yizi Cheng +4 more
wiley +1 more source
Uncertainty-Aware Time Series Anomaly Detection
Future InternetTraditional anomaly detection methods in time series data often struggle with inherent uncertainties like noise and missing values. Indeed, current approaches mostly focus on quantifying epistemic uncertainty and ignore data-dependent uncertainty ...
Paul Wiessner +4 more
doaj +1 more source
A review of uncertainty estimation and its application in medical imaging
Meta-Radiology, 2023 The use of AI systems in healthcare for the early screening of diseases is of great clinical importance. Deep learning has shown great promise in medical imaging, but the reliability and trustworthiness of AI systems limit their deployment in real ...
Ke Zou +5 more
doaj +1 more source
Earthquake Engineering &Structural Dynamics, Volume 55, Issue 6, Page 1467-1487, May 2026.ABSTRACT This study quantifies the influence of alkali‐silica reaction (ASR) on the seismic fragility of prestressed concrete containment structures in nuclear power plants (NPPs). Global collapse was considered as the governing failure mode to maintain consistency with current risk assessment frameworks, and was captured using a finite element model ...
Chanyoung Kim +3 more
wiley +1 more source
Label-wise Aleatoric and Epistemic Uncertainty Quantification
Uncertainty in Artificial Intelligence.
Sale, Yusuf +5 more
openaire +4 more sources
Journal of Field Robotics, Volume 43, Issue 3, Page 2254-2341, May 2026.ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong +13 more
wiley +1 more source
IEEE AccessVascular access dysfunction is a prevalent and critical complication among hemodialysis patients, particularly in Taiwan, which has the highest proportion of dialysis patients globally. Early diagnosis and effective management are essential for improving
Chia-Hsun Lin +4 more
doaj +1 more source