Results 131 to 140 of about 55,379 (247)

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

Real-Time Control of Six-DOF Serial Manipulators via Learned Spherical Kinematics

Robotics
Achieving reliable and real-time inverse kinematics (IK) for 6-degree-of-freedom (6-DoF) spherical-wrist manipulators remains a significant challenge.
Meher Madhu Dharmana, Pramod Sreedharan
doaj   +1 more source

ON A CLASS OF LEVENBERG-MARQUARDT- TYPE METHODS [PDF]

Proceedings of the Academy of Sciences of the Estonian SSR. Physics. Mathematics, 1980
openaire   +2 more sources

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

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

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

Stochastic analysis through Levenberg Marquardt backpropagation neural networks for radiative Carreau nanofluid flow subject to chemical reaction

Ain Shams Engineering Journal
The aim of this research work is to estimate and analyze the solution of rheological chemical reactive Carreau nanofluid (CNRFM) induced by exponentially extended surface (EES) subject to variable physical attributes by using stochastic analysis on ...
Zahoor Shah, Seraj Alzhrani, Muhammad Asif Zahoor Raja, Amjad Ali Pasha, Faisal Shahzad, Waqar Azeem Khan   +5 more
doaj   +1 more source

Parallel inexact Levenberg–Marquardt method for nearly-separable nonlinear least squares

Journal of Global Optimization
Abstract Motivated by localization problems such as cadastral maps refinements, we consider a generic Nonlinear Least Squares (NLS) problem of minimizing an aggregate squared fit across all nonlinear equations (measurements) with respect to the set of unknowns, e.g., coordinates of the unknown points’ locations.
Fodor, Lidija, Jakovetić, Dušan, Krejić, Nataša, Malaspina, Greta   +3 more
openaire   +4 more sources

High‐Concentration Antibody Formulation via Solvent‐Based Dehydration

Advanced Materials, Volume 38, Issue 7, 2 February 2026.
Amorphous solid antibodies are encapsulated into hydrogel microparticles through a solvent‐based dehydration process. The solvent extracts water from antibody solution droplets, causing the antibody to concentrate, and precipitation of the antibody into amorphous solid is induced.
Talia Zheng, Lucas Attia, Janet Teng, Patrick S. Doyle   +3 more
wiley   +1 more source