Results 21 to 30 of about 11,879 (128)

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

Finding a mix of renewable energy for different stakeholders by applying multi‐criteria decision‐making techniques

International Transactions in Operational Research, EarlyView.
Abstract This paper presents a two‐stage model for planning a renewable energy portfolio by balancing economic, social and environmental sustainability goals. The first stage addresses a multi‐objective problem where conflictive impacts generated by the energy portfolios should be optimised according to the corresponding economic, social or ...
Amelia Bilbao‐Terol, Verónica Cañal‐Fernández, Carmen González‐Pérez   +2 more
wiley   +1 more source

What If Each Voxel Were Measured With a Different Diffusion Protocol?

Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 2277-2290, April 2026.
ABSTRACT Purpose Expansion of diffusion MRI (dMRI) both into the realm of strong gradients and into accessible imaging with portable low‐field devices brings about the challenge of gradient nonlinearities. Spatial variations of the diffusion gradients make diffusion weightings and directions non‐uniform across the field of view, and deform perfect ...
Santiago Coelho, Gregory Lemberskiy, Ante Zhu, Hong‐Hsi Lee, Nastaren Abad, Thomas K. F. Foo, Els Fieremans, Dmitry S. Novikov   +7 more
wiley   +1 more source

A Chebyshev Polynomial‐Based Wind Speed Profile Characterization Framework: Applications in Mesoscale Model Evaluation

Wind Energy, Volume 29, Issue 2, February 2026.
ABSTRACT This study presents a polynomial‐based wind speed profile characterization framework that approximates full vertical profiles using five physically meaningful Chebyshev polynomial coefficients. The framework captures key morphological features of wind profiles, including mean wind speed, vertical shear, curvature, inflection‐related behavior ...
Harish Baki, Sukanta Basu
wiley   +1 more source

Effective Variable‐Speed Bearing Fault Diagnosis From Motor Current Signals Using Kurtosis‐Guided VMD and Multi‐Branch Convolutional Neural Network

IET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
This study presents a novel deep learning‐based fault classification framework utilising Variational Mode Decomposition (VMD) for adaptive feature extraction and a Multi‐branch Convolutional Neural Network (M1D‐CNN) architecture for classification. The VMD hyperparameters were optimised based on kurtosis to ensure the extraction of the most informative
Seyyid Ahmed Djellouli, Mounir Djeddi, Aissa Kheldoun, Nima Khosravi, Adel Oubelaid   +4 more
wiley   +1 more source

Mechanistic insights into the anion‐driven suppression of the initial cement reaction of tricalcium aluminate

Journal of the American Ceramic Society, Volume 109, Issue 1, January 2026.
Abstract The hydration process of ordinary Portland cement (OPC) involves intricate interactions among ions in the pore solution, dissolving clinker phases, and precipitating hydrates. Tricalcium aluminate (C3A${\rm C}_3{\rm A}$) shows the highest reactivity of the cement clinker phases during the initial hydration stages of OPC. The kinetic control of
Daniel Axthammer, Samir Darouich, Marie Collin, Ratan K. Mishra, Tobias Lange, Joachim Dengler, Torben Gädt   +6 more
wiley   +1 more source

An Optimized Block Hybrid Spectral Simple Iteration Methods for Solving Nonlinear Evolution Equations

International Journal for Numerical Methods in Engineering, Volume 126, Issue 24, 30 December 2025.
ABSTRACT This study presents a new optimized block hybrid method and spectral simple iteration method (OBHM‐SSIM) for solving nonlinear evolution equations. In this method, we employed a combination of the spectral collocation method in space and the optimized block hybrid method in time, along with a simple iteration scheme to linearize the equations.
Salma Ahmedai, Precious Sibanda, Sandile Motsa, Sicelo Goqo, Osman A. I. Noreldin   +4 more
wiley   +1 more source

How Accurate is Richardson's Error Estimate?

Concurrency and Computation: Practice and Experience, Volume 37, Issue 27-28, 25 December 2025.
ABSTRACT We consider the fundamental problem of estimating the difference between the exact value T$$ T $$ and approximations Ah$$ {A}_h $$ that depend on a single real parameter h$$ h $$. It is well‐known that if the error Eh=T−Ah$$ {E}_h=T-{A}_h $$ satisfies an asymptotic expansion, then we can use Richardson extrapolation to approximate Eh$$ {E}_h $$
Carl Christian Kjelgaard Mikkelsen, Lorién López‐Villellas   +1 more
wiley   +1 more source

Additive‐Driven Phase Control for Stable and Efficient CsPbI₃ Solar Cells Via Ambient Low‐Temperature Processing

Advanced Functional Materials, Volume 35, Issue 49, December 2, 2025.
CsPbI₃ perovskite solar cells face stability issues due to high annealing temperatures and moisture. Butylammonium acetate (BAAc) enables stable phase formation at 160°C in ambient laboratory conditions, enhancing efficiency and stability, achieving 18.6% PCE, and maintaining over 81% efficiency after 1,000 hours of maximum power point tracking under 1
Narendra Pai, Aaron Seeber, Wen Liang Tan, Luke J. Sutherland, Chris Easton, Wenqi Yan, Yogesh Gulia, Yesim Gozukara, Jueng‐Eun Kim, Mei Gao, Dechan Angmo   +10 more
wiley   +1 more source

Various-Order Low-Pass Filter with the Electronic Change of Its Approximation. [PDF]

Sensors (Basel), 2023
Langhammer L, Sotner R, Theumer R.
europepmc   +1 more source