Results 231 to 240 of about 6,609,770 (304)

Unveiling New Perspectives on the Hirota–Maccari System With Multiplicative White Noise

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT In this study, we delve into the stochastic Hirota–Maccari system, which is subjected to multiplicative noise according to the Itô sense. The stochastic Hirota–Maccari system is significant for its ability to accurately model how stochastic affects nonlinear wave propagation, providing valuable insights into complex systems like fluid dynamics
Mohamed E. M. Alngar   +3 more
wiley   +1 more source

On Geometric Phase Model in the Theory of Curves With Myller Configuration

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT In this paper, we introduce a linearly polarized light wave in an optical fiber and rotation of the polarization plane through the Frenet‐type frame with Myller configuration. Since the geometric evaluation and interpretations of a polarized light wave are associated with geometric phase, a new type of geometric phase model has been ...
Zehra İşbilir   +2 more
wiley   +1 more source

Depiction Fidelity and Specificity in Direct MRI of Collagen: Addressing Signal Decay at the Microsecond Timescale

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Gap‐filled zero echo time (ZTE) acquisitions combined with dedicated short‐T2 hardware enable direct collagen imaging on the timescale of macromolecular (MM) signals, with T2s ˜ 10 μs. However, present methods offer limited depiction fidelity, and their specificity towards MM content is poorly understood. This work presents methodology
Jason Daniel van Schoor   +3 more
wiley   +1 more source

Accelerated MR Elastography Using Learned Neural Network Representation

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a deep‐learning method for achieving fast high‐resolution MR elastography from highly undersampled data without the need for high‐quality training datasets. Methods We first reframed the deep neural network representation as a nonlinear extension of the linear subspace model, then used it to represent and reconstruct MRE ...
Xi Peng
wiley   +1 more source

Linear Mechatronic Modeling of Rectangular Tank Sloshing Dynamics

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Sloshing dynamics in partially filled tanks can strongly influence system‐level behavior when fluid motion couples with rigid‐body dynamics. This paper presents a linear and acausal two‐dimensional sloshing model for rectangular tanks, based on the reformulation of established sloshing theory within a modular, multi‐domain modeling framework ...
Magnus Steinstø, Eilif Pedersen
wiley   +1 more source

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