Results 181 to 190 of about 3,856,070 (304)
ABSTRACT The well‐posedness results for mild solutions to the fractional neutral stochastic differential system with Rosenblatt process with Hurst index Ĥ∈12,1$$ \hat{H}\in \left(\frac{1}{2},1\right) $$ is discussed in this article. To demonstrate the results, the concept of bounded integral contractors is combined with the stochastic result and ...
Dimplekumar N. Chalishajar +3 more
wiley +1 more source
Cryptanalysis of a controller-independent controlled bidirectional QSDC protocol. [PDF]
Tsai CW +4 more
europepmc +1 more source
ABSTRACT Nowadays, a substantial portion of investigations concerning the symmetry analysis of differential equations predominantly adhere to a framework comprising the following key procedures: (i) the derivation of symmetries, (ii) the determination of an optimal system, (iii) the utilization of these symmetries to construct invariants or ...
A. Paliathanasis +2 more
wiley +1 more source
On Geometric Phase Model in the Theory of Curves With Myller Configuration
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
Symmetry-based derivation of neuronal membrane dynamics: a Lie group approach to action potential generation. [PDF]
Melendy RF, Blue DH.
europepmc +1 more source
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
Algebraic Representation of Mitochondrial Dynamics. [PDF]
Mostov R, Lewis G, Sturm G, Marshall WF.
europepmc +1 more source
Accelerated MR Elastography Using Learned Neural Network Representation
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

