Results 161 to 170 of about 15,893 (296)
Geoacoustic reflectivity inversion : a Bayesian approach
Propagation and reverberation of acoustic fields in shallow water depend strongly on the spatial variability of seabed geoacoustic parameters, and lack of knowledge of seabed variability is often a limiting factor in acoustic modelling applications.
Dettmer, Jan
core
Planar Curve Registration using Bayesian Inversion
We study parameterisation-independent closed planar curve matching as a Bayesian inverse problem. The motion of the curve is modelled via a curve on the diffeomorphism group acting on the ambient space, leading to a large deformation diffeomorphic metric
Kirby, Robert C +4 more
core +1 more source
ABSTRACT Purpose To develop a slice‐wise blurring‐free and densely sampled TE‐resolved multiple‐TE (mTE) ASL sequence (TASL) for measuring blood–brain barrier (BBB) water exchange time. Methods A 3D TSE spiral‐readout pCASL sequence was modified to enable TE‐resolved acquisition.
Bo Li +11 more
wiley +1 more source
ABSTRACT Aims Purpose: Dictionary matching is a standard tool in quantitative MRI (qMRI), but typically lacks uncertainty quantification (UQ). This is critical when advanced reconstructions (e.g., compressed sensing, deep learning) introduce complex‐valued, spatially varying, and temporally correlated noise that violates standard assumptions of ...
Brian Toner +7 more
wiley +1 more source
Denoising of ASL Data Using Deep Learning Priors Generated From Distribution Remapping
ABSTRACT Purpose To develop an effective deep learning (DL)–based method to denoise arterial spin labeling (ASL) data. Methods Conventional DL–based ASL denoising methods often suffer from overfitting and poor generalization when training data are limited.
Ziyang Xu +9 more
wiley +1 more source
The export of emergent aquatic insects is a critical energy subsidy for terrestrial food webs. While urbanization is known to alter stream communities, its effects on the size structure of these insect subsidies and the subsequent consequences for riparian predators remain poorly understood.
Charles Gagnon +2 more
wiley +1 more source
Bayesian geoacoustic inversion using mixture density network
Bayesian geoacoustic inversion problems are conventionally solved by Markov chain Monte Carlo methods or its variants, which are computationally expensive.
Song, Junqiang, Zhang, Jingya, Wu, Guoli
core
Systemic bio‐inequity links poverty to biodiversity and induces a conservation paradox
Abstract Biodiversity is declining globally while inequity is growing, and poverty rates are not improving. Global sustainable development and conservation initiatives aim to address biodiversity loss and poverty simultaneously. Through text analysis of global biodiversity policies, we identified a consistent narrative that countries with high ...
Conor Waldock +4 more
wiley +1 more source
PSPP‐TRL mapping of CNT‐modified CFRP literature, with four recurring confusions resolved and five scale‐up problems quantified. ABSTRACT Carbon nanotube‐modified fiber composites are often presented as a route to stronger, tougher, and self‐sensing structural materials.
Sanan H. Khan
wiley +1 more source
Fast imaging techniques of marine controlled source electromagnetic (CSEM) data
Obtaining information regarding the resistivity structure of the subsurfacefrom marine CSEM data involves complex processes. 1D and 2D forward and inversemodelling are currently the standard approaches used to produce geoelectrical models,with 3D ...
Morris, Edward C.
core

