Results 121 to 130 of about 54,005 (235)

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

Defense Strategies for Epidemic Cyber Security Threats: Modeling and Analysis by Using a Machine Learning Approach

IEEE Access
This paper investigates the mathematical modelling of cybercrime attacks on multiple devices connected to the server. This model is a very successful way for cybercrime, bio-mathematics, and artificial intelligence to investigate and comprehend the ...
Muhammad Sulaiman, Muhammad Waseem, Addisu Negash Ali, Ghaylen Laouini, Fahad Sameer Alshammari   +4 more
doaj   +1 more source

Meteorological time series forecasting with pruned multi-layer perceptron and 2-stage Levenberg-Marquardt method

, 2014
A Multi-Layer Perceptron (MLP) defines a family of artificial neural networks often used in TS modeling and forecasting. Because of its "black box" aspect, many researchers refuse to use it.
Balu, Aurélia, Muselli, Marc, Nivet, Marie Laure, Notton, Gilles, Paoli, Christophe, Tamas, Wani W., Voyant, Cyril   +6 more
core   +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

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

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

Automatic parameter update algorithm for regression models to estimate remaining useful life: Application in an offshore natural gas dehydration unit

The Canadian Journal of Chemical Engineering, Volume 104, Issue 2, Page 935-952, February 2026.
Abstract Remaining useful life (RUL) analysis of equipment prevents failures and assists in maintenance to address impending failures. To achieve this, the advancement of degradation can be measured through a determinant variable. This work presents a new methodology for estimating the number of remaining cycles (NRC), or RUL, of equipment in cyclic ...
Leonardo M. de Marco, Jorge Otávio Trierweiler, Marcelo Farenzena   +2 more
wiley   +1 more source

Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study

Energy Science &Engineering, Volume 14, Issue 2, Page 935-961, February 2026.
Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali, Muhammad Yaqoob Javed, Aamer Bilal Asghar, Khurram Hashmi, Abbas Javed, Basem Alamri, Krzysztof Ejsmont   +6 more
wiley   +1 more source

Fat‐Corrected Non‐Gaussian Diffusion MRI for Liver Fibrosis Assessment in Metabolic Dysfunction‐Associated Steatotic Liver Disease

Journal of Magnetic Resonance Imaging, Volume 63, Issue 2, Page 497-507, February 2026.
ABSTRACT Background In patients with metabolic dysfunction‐associated steatotic liver disease (MASLD), non‐Gaussian diffusion—weighted imaging (DWI) has been proposed for the diagnosis of liver fibrosis, but its measurement is partially confounded by steatosis.
Omaïma Saïd, Sabrina Doblas, Valérie Paradis, Pierre Bedossa, Dominique Valla, Cédric Laouénan, Laurent Castera, Bernard E. Van Beers, Philippe Garteiser   +8 more
wiley   +1 more source

3D Whole‐Heart Joint T1/T1ρ Mapping and Water‐Fat Imaging on a Clinical 0.55‐T Low‐Field Scanner

NMR in Biomedicine, Volume 39, Issue 2, February 2026.
A 3D joint T1/T1ρ$$ \rho $$ mapping sequence was proposed at 0.55 T. Four interleaved T1 and T1ρ$$ \rho $$ encoded 3D volumes are acquired; images are reconstructed with nonrigid respiratory motion‐correction, low‐rank patch‐based denoising (HD‐PROST) and water‐fat separation; and T1/T1ρ$$ \rho $$ maps are estimated through dictionary matching.
Michael G. Crabb, Karl P. Kunze, Carlos Castillo‐Passi, Dongyue Si, Simon J. Littlewood, Claudia Prieto, René M. Botnar   +6 more
wiley   +1 more source