Results 111 to 120 of about 156,630 (288)

Analytical and Numerical Soliton Solutions of the Shynaray II‐A Equation Using the G′G,1G$$ \left(\frac{G^{\prime }}{G},\frac{1}{G}\right) $$‐Expansion Method and Regularization‐Based Neural Networks

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT Nonlinear differential equations play a fundamental role in modeling complex physical phenomena across solid‐state physics, hydrodynamics, plasma physics, nonlinear optics, and biological systems. This study focuses on the Shynaray II‐A equation, a relatively less‐explored parametric nonlinear partial differential equation that describes ...
Aamir Farooq, H. W. A. Riaz, Sadique Rehman, M. Mamun Miah, Wen Xiu Ma   +4 more
wiley   +1 more source

Exploring the Strengths and Limitations of Polymer Chemistry Informed Neural Networks

Macromolecular Reaction Engineering, EarlyView.
PCINNs are able to reach high levels of predictive performance utilizing imperfect kinetic models and a relatively small dataset, with reliable extrapolation at reaction temperatures significantly beyond the range of the original dataset. ABSTRACT Kinetic models are essential tools for providing a fundamental understanding of polymerization processes ...
Shaghayegh Hamzehlou, Nicholas Ballard, José M. Asua   +2 more
wiley   +1 more source

Automated Coregistered Segmentation for Volumetric Analysis of Multiparametric Renal MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose This study aims to develop and evaluate a fully automated deep learning‐driven postprocessing pipeline for multiparametric renal MRI, enabling accurate kidney alignment, segmentation, and quantitative feature extraction within a single efficient workflow. Methods Our method has three main stages.
Aya Ghoul, Cecilia Liang, Isabelle Loster, Lavanya Umapathy, Bernd Kühn, Petros Martirosian, Ferdinand Seith, Sergios Gatidis, Thomas Küstner   +8 more
wiley   +1 more source

Complementary Sensitivity of Fixed‐Time and Fixed‐Oscillation Regimes to Exchange and Structural Disorder in the Human Brain Revealed Using Oscillating‐Gradient Diffusion MRI With Ultra‐Strong Gradients

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Oscillating‐gradient spin‐echo (OGSE) diffusion MRI probes cell geometry and membrane integrity through the frequency‐dependence of kurtosis, but prior studies have reported inconsistent findings depending on how frequency is varied. We compared frequency‐dependent kurtosis in the human brain under two regimes: varying frequency with ...
Dongsuk Sung, Kwok‐Shing Chan, Julianna Gerold, Wen Zhong, Jialan Zheng, Qiyuan Tian, Hua Guo, Susie Y. Huang, Hong‐Hsi Lee   +8 more
wiley   +1 more source

Quantitative Diffusion and T2 Mapping Using RF‐Modulated Phase‐Based Gradient Echo Imaging

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To introduce and evaluate the feasibility of a novel RF‐phase modulated gradient echo (GRE) method for quantitative diffusion MRI, aimed at mitigating geometric distortion and enabling high‐resolution 3D quantitative diffusion/T2 mapping as a complementary alternative to conventional DWI.
Daiki Tamada, Ali Pirasteh, David F. Jarrard, Diego Hernando, Scott B. Reeder   +4 more
wiley   +1 more source

A computational procedure for automated flutter analysis [PDF]

A direct solution procedure for computing the flutter Mach number and the flutter frequency is applied to the aeroelastic analysis of propfans using a finite element structural model and an unsteady aerodynamic model based on a three-dimensional subsonic
Kaza, Krishna Rao V., Murthy, Durbha V.
core   +1 more source

Modelling Motion‐Induced Signal Corruption in Steady‐State Diffusion MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Diffusion‐weighted steady‐state free precession (DW‐SSFP) is a diffusion imaging sequence achieving high SNR efficiency. A key challenge for in vivo DW‐SSFP is the sequence's severe motion sensitivity, currently limiting investigations to low or no motion regimes.
Benjamin C. Tendler, Wenchuan Wu, Karla L. Miller, Aaron T. Hess   +3 more
wiley   +1 more source

Trajectory Control of Manipulator Robots With Uncertainties: A Saturated Continuous Integral Sliding Mode Approach

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This study addresses the trajectory tracking control for manipulator robots with uncertainties. The main objective is to ensure that the robot follows a desired trajectory despite the presence of uncertainties/disturbances and considering control input constraints. The approach is developed in the framework of continuous integral sliding modes.
Emanuel Ortiz‐Ortiz, Juan Eduardo Velázquez‐Velázquez, Ramón Silva‐Ortigoza, Rosalba Galván‐Guerra   +3 more
wiley   +1 more source

Toeplitz Jacobian matrix and nonlinear dynamical systems

, 2012
published_or_final_version ; Civil and Structural Engineering ; Doctoral ; Doctor of ...
openaire   +2 more sources

Implications of heterogeneous embankment conditions for geoelectrical investigations on dams: A case study at Mactaquac Dam, Canada

Near Surface Geophysics, EarlyView.
Abstract Electrical resistivity tomography (ERT) has been shown to be effective for surveying and monitoring dams, due to the method's sensitivity to moisture content and relevant physical properties (e.g., porosity). Automated ERT systems, capable of time‐lapse monitoring, can be used to detect variations in ground conditions.
John S. Ball, Karl E. Butler, Jonathan E. Chambers, Paul B. Wilkinson, Andrew Binley   +4 more
wiley   +1 more source