Results 211 to 220 of about 3,476 (289)

Input Layer Regularization and Automated Regularization Hyperparameter Tuning for Myelin Water Estimation Using Deep Learning

open access: yesNMR in Biomedicine, Volume 39, Issue 6, June 2026.
We propose a novel deep learning algorithm for predicting the myelin water fraction from multiple gradient‐echo or spin‐echo pulse sequences arising in magnetic resonance relaxometry (MRR) measurements of the human brain. Our method incorporates both regularized nonlinear least squares and pure deep learning through a concatenation paradigm known as ...
Mirage Modi   +7 more
wiley   +1 more source

Aspects of Parameter Identification for a Micromorphic Continuum applied to a Cold‐Box Sand

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT This work is concerned with the modeling of a cold‐box sand, a composition of sand grains and a resin binder. To this end, experiments are performed, which show the following characteristics: localization phenomena in the form of a shear band, softening behavior in the force‐displacement curve, and asymmetric behavior for compression and ...
Alexander Börger   +3 more
wiley   +1 more source

FE2 Method to Model Rod‐ and Beam‐Like Atomic Based Nanostructures

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT The mechanical behaviour of rod‐ and beam‐like atomistic nanostructures is analysed using the FE2${\rm FE}^2$ method. At the macroscopic scale, the system is described by a two‐dimensional Timoshenko beam model. On the microscopic level, molecular mechanics is used.
Julian Ochs, Jens Wackerfuß
wiley   +1 more source

Diffusion model‐regularized implicit neural representation for computed tomography metal artifact reduction

open access: yesQuantitative Biology, Volume 14, Issue 2, June 2026.
Abstract Computed tomography (CT) images are often severely corrupted by artifacts in the presence of metals. Existing supervised metal artifact reduction (MAR) approaches suffer from performance instability on known data due to their reliance on limited paired metal‐clean data, which limits their clinical applicability. Moreover, existing unsupervised
Jie Wen   +3 more
wiley   +1 more source

Fractional heat conduction with variable thermal conductivity in rotating hydro-semiconductors. [PDF]

open access: yesSci Rep
Elshazly IS   +6 more
europepmc   +1 more source

Quantum Information Processing in Human Cognition: Bridging Quantum Phenomena, Neural Dynamics, and Decision‐Making

open access: yesAdvanced Quantum Technologies, Volume 9, Issue 6, June 2026.
ABSTRACT Recent advances at the intersection of quantum physics, neuroscience, and cognitive science have renewed interest in whether quantum phenomena and quantum‐inspired formalisms can inform models of human cognition and decision‐making. While classical neural and computational models explain many aspects of perception and behavior, they face ...
Hamidreza Namazi   +3 more
wiley   +1 more source

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