Results 121 to 130 of about 62,392 (177)

Ultimate Intrinsic SNR in the Torso of Realistic Body Models

Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 2409-2419, April 2026.
ABSTRACT Purpose This work aims to investigate how the ultimate intrinsic signal‐to‐noise ratio (uiSNR) varies with increasing static magnetic field B0$$ {B}_0 $$ in the torso of realistic body models. Methods A dipole cloud was positioned around the realistic body model and randomly excited.
Yuting Wang, Markus W. May, Marcel Gratz, Mark E. Ladd, Stephan Orzada   +4 more
wiley   +1 more source

An implementation of the partitioned Levenberg-Marquardt algorithm for applications in computer vision

Semina: Ciências Exatas e Tecnológicas, 2009
At several applications of computer vision is necessary to estimate parameters for a specific model which best fits an experimental data set. For these cases, a minimization algorithm might be used and one of the most popular is the Levenberg ...
Tiago Polizer da Silva, Marcela Hitomi Koyama, Maria Bernadete de Morais França, José Alexandre de França   +3 more
doaj  

Learning hydrocracking reaction dynamics via neural ODEs: A data‐driven, gradient‐interpretable lumped modelling framework

The Canadian Journal of Chemical Engineering, Volume 104, Issue 3, Page 1372-1386, March 2026.
This work demonstrates the application of neural ordinary differential equations (neural ODEs) for learning hydrocracking reaction kinetics directly from data, achieving robust predictions under noise and sparsity while preserving mechanistic interpretability through gradient‐based analysis of temperature‐ and concentration‐dependent reaction rates ...
Souvik Ta, Lakshminarayanan Samavedham, Ajay K. Ray   +2 more
wiley   +1 more source

Income–Well‐Being Gradient in Sickness and Health

Health Economics, Volume 35, Issue 3, Page 409-422, March 2026.
ABSTRACT We propose a method for studying the value of insurance. For this purpose, we analyze the well‐being of the same individuals, comparing sick and healthy years, using German panel survey data on life satisfaction. We impose structure on the income–well‐being gradient by fitting a flexible utility function to the data, focusing on the ...
Ohto Kanninen, Petri Böckerman, Ilpo Suoniemi   +2 more
wiley   +1 more source

Self‐Navigated, Retrospective, Data‐Consistent Motion Correction for MPnRAGE

Magnetic Resonance in Medicine, Volume 95, Issue 3, Page 1429-1439, March 2026.
ABSTRACT Purpose To extend and automate a data‐consistent, self‐navigated motion‐correction method for 3D radial T1‐weighted imaging. Methods This method incorporated rigid‐body motion effects into the forward model, solving for parameters that maximize consistency with the data.
John Podczerwinski, Andrew L. Alexander, Brittany G. Travers, James J. Li, Steven R. Kecskemeti   +4 more
wiley   +1 more source

Optimizing a Double Stage Heat Transformer Performance by Levenberg–Marquardt Artificial Neural Network

Machine Learning and Knowledge Extraction
Waste heat recovery is a critical strategy for optimizing energy consumption and reducing greenhouse gas emissions. In this context, the circular economy highlights the importance of this practice as a key tool to enhance energy efficiency, minimize ...
Suset Vázquez-Aveledo, Rosenberg J. Romero, Lorena Díaz-González, Moisés Montiel-González, Jesús Cerezo   +4 more
doaj   +1 more source

Wheat Yield Response to Organic Fertilisers Depends on Drought Timing in a Sandy Soil

Journal of Sustainable Agriculture and Environment, Volume 5, Issue 1, March 2026.
ABSTRACT Organic fertilisers enhance crop drought resilience by improving nitrogen (N) and phosphorus (P) use efficiency and soil‐plant water relations. However, the underlying mechanisms governing their effects across different drought timings in wheat under sandy soils remain unclear.
Muhammad Kamran, Petra Marschner, Aasma Parveen, Thi Hoang Ha Truong, Zhe H. Weng   +4 more
wiley   +1 more source

Cattaneo-Christov heat flow model at mixed impulse stagnation point past a Riga plate: Levenberg-Marquardt backpropagation method.

Heliyon, 2023
Hussain S, Islam S, Nisar KS, Zahoor Raja MA, Shoaib M, Abbas M, Saleel CA.   +6 more
europepmc   +1 more source

SMART ANTENNA ADAPTIVE BEAM FORMING BASE ON NEURAL NETWORK WITH DIFFERENT TRAINING ALGORITHIMS

Journal of Engineering and Sustainable Development, 2016
In this paper, an artificial Feed Forward Neural Network(FFNN) is used for smart antenna adaptive beamforming. Neural network is used to calculate the optimum weights that adapt the radiation pattern of the antenna by directing multiple narrow beams ...
Adheed Hassan Sallomi, Sulaiman A.G. Albanee   +1 more
doaj  

Generating Stable and Metastable Critical Points in Uncertain Systems via Flow‐Based Models

Expert Systems, Volume 43, Issue 3, March 2026.
ABSTRACT This work proposes the use of conditional flow‐based generative models to learn an approximation of the distribution of the critical points of a cost function. This approximation is used to incrementally identify all critical points, in the feasible domain of said function, by iteratively alternating the sampling of the distribution and the ...
Callum Wilson, Massimiliano Vasile
wiley   +1 more source