Results 61 to 70 of about 3,866 (190)
Tikhonov–Phillips regularization with operator dependent seminorms [PDF]
Numerical Algorithms, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Thomas K. Huckle, Matous Sedlacek
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In situ mapping of iron oxidation in laminar metal fuel flames using X‐ray absorption spectroscopy
Journal of Synchrotron Radiation, EarlyView.For the first time an iron metal flame has been mapped by in situ X‐ray absorption spectroscopy. Strong gradients in oxidation state and phase composition across the metallic core and the flame front were found with FeO peaking at the visible flame front and Fe3O4 forming further beyond.Metal fuels such as iron are promising carbon‐free energy carriers
Lukas Braun +7 more
wiley +1 more source
IEEE Access, 2020 Ultrasound computed tomography (USCT) is a promising technique for breast imaging. It provides three modalities: echo image, sound speed image (SSI), and attenuation image.
Zisheng Yao +3 more
doaj +1 more source
Tikhonov Regularization of Circle-Valued Signals
IEEE Transactions on Signal Processing, 2022 It is common to have to process signals or images whose values are cyclic and can be represented as points on the complex circle, like wrapped phases, angles, orientations, or color hues. We consider a Tikhonov-type regularization model to smoothen or interpolate circle-valued signals defined on arbitrary graphs.
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Iterated fractional Tikhonov regularization [PDF]
Inverse Problems, 2015 AbstractWe consider linear operator equations of the form where $K:{\cal X}\to{\cal Y}$ is a compact linear operator between Hilbert spaces ${\cal X} \hbox{ and } {\cal Y}.$ We assume y to be attainable, i.e., that problem (1) has a solution x† = K†y of minimal norm.
Bianchi, Davide +3 more
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Economic Record, EarlyView.We study the effects of heat and high temperature shocks on inflation in Australia using monthly, state‐level temperature anomaly data via two stages. In the first stage, we decompose temperature anomalies into orthogonal components using a structural vector autoregression with long‐run restrictions.
Tan Dat Huynh, Mengheng Li
wiley +1 more source
A Horse Race of Machine‐Learning Methods to Predict Banking Crises
International Finance, EarlyView.ABSTRACT To examine if one machine‐learning model can consistently elucidate financial vulnerabilities, both over time and across levels of development, this paper applies 13 machine‐learning algorithms to evaluate comparative forecasting performance across several banking crises.
Emile du Plessis
wiley +1 more source
Multi-parameter Tikhonov regularization — An augmented approach [PDF]
Chinese Annals of Mathematics, Series B, 2014 14 pages, to appear in Chinese Annals of Mathematics, Series B, special issue for International Conference on Inverse Problems and Related ...
Ito, Kazufumi +2 more
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Magnetic Resonance in Medicine, Volume 96, Issue 4, Page 1557-1571, October 2026.ABSTRACT Purpose Segmented 3D Gradient and Spin Echo (GRASE) is commonly used in Arterial Spin Labeling (ASL) perfusion imaging. However, it is vulnerable to inter‐shot motion, leading to subtraction errors that cannot be corrected. We developed a retrospective self‐navigated inter‐shot motion correction method for segmented 3D‐GRASE ASL imaging with ...
Minhao Hu +5 more
wiley +1 more source
Laterally Oscillating Trajectory for Undersampling Slices: LOTUS
Magnetic Resonance in Medicine, Volume 96, Issue 4, Page 1682-1695, October 2026.ABSTRACT Purpose While spiral sampling offers SNR advantages for diffusion MRI, its acceleration with simultaneous multislice remains relatively unexplored. This study introduces Laterally Oscillating Trajectory for Undersampling Slices (LOTUS), which is a 3D spiral‐like k‐space trajectory that aims to minimize g‐factor via controlled incoherent ...
Mayuri Sothynathan +2 more
wiley +1 more source