Results 81 to 90 of about 1,055,211 (305)
Entropy, 2020 This paper considers non-classical continuum theory for thermoviscous fluids without memory incorporating internal rotation rates resulting from the antisymmetric part of the velocity gradient tensor to derive ordered rate constitutive theories for the ...
Karan S. Surana, Stephen W. Long
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective The diagnosis of fibromyalgia (FM) is challenging due to the absence of definitive biomarkers, numerous overlapping comorbidities, and its reliance on patient‐reported symptoms. Discrepancies between diagnostic criteria and clinical practice imply the possibility of diagnostic biases, complicating timely and accurate identification.
Sung‐A Kim +2 more
wiley +1 more source
Model-Based Bootstrapping on Classified Tensor Morphologies: Estimation of Uncertainty in Fibre Orientation and Probabilistic Tractography. [PDF]
In this study, fast and clinically feasible model-based bootstrapping algorithms using a geometrically constrained two-tensor diffusion model are employed for estimating uncertainty in fibre-orientation. Voxels are classified based on tensor morphologies
Bertoni, Miguel +4 more
core
Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs [PDF]
, 2012 We describe an approach to speed-up inference with latent-variable PCFGs, whichhave been shown to be highly effective for natural language parsing. Our approachis based on a tensor formulation recently introduced for spectral estimation oflatent-variable
Collins, Michael, Cohen, Shay
core
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Spatial transformations of diffusion tensor magnetic resonance images [PDF]
, 2001 The authors address the problem of applying spatial transformations (or “image warps”) to diffusion tensor magnetic resonance images. The orientational information that these images contain must be handled appropriately when they are transformed ...
Basser, P.J. +3 more
core
Combining experimental volcanology, petrology and geophysical monitoring techniques [PDF]
, 2012 In general, an understanding of the complex processes acting before and during volcanic eruptions is approached from various different sides, e.g. laboratory experiments on fragmentation and/or bubble burst eruption mechanisms, petrological analysis of ...
Kremers, Simon
core +1 more source
Microseismic moment tensor inversion based on ResNet model
Artificial Intelligence in GeosciencesThis paper proposed a moment tensor regression prediction technology based on ResNet for microseismic events. Taking the great advantages of deep networks in classification and regression tasks, it can realize the great potential of fast and accurate ...
Jiaqi Yan +5 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora +4 more
wiley +1 more source
Adjoint centroid-moment tensor inversions [PDF]
, 2011 We determine centroid-moment tensor (CMT) solutions by minimizing waveform differences between observed and simulated seismograms based on an adjoint method. Synthetic seismograms and Fréchet derivatives are calculated based on a spectral-element method.
Tromp, Jeroen, Kim, YoungHee, Liu, Qinya
core