Results 71 to 80 of about 22,663 (297)

A method based on vector type for sparse storage and quick access to projection matrix

Journal of Measurement Science and Instrumentation, 2015
For sparse storage and quick access to projection matrix based on vector type,this paper proposes a method to solve the problems of the repetitive computation of projection coefficient,the large space occupation and low retrieval efficiency of projection
YANG Juan, HOU Hui-ling, SHI Lang, Key Laboratory of Instrumentation Science & Dynamic Measurement   +3 more
doaj  

A compressed sensing-based iterative algorithm for CT reconstruction and its possible application to phase contrast imaging

BioMedical Engineering OnLine, 2011
Background Computed Tomography (CT) is a technology that obtains the tomogram of the observed objects. In real-world applications, especially the biomedical applications, lower radiation dose have been constantly pursued.
Li Xueli, Luo Shuqian
doaj   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Iterative reconstruction in CT imaging; Image quality and radiation doses

, 2020
Improved image quality in CT imaging using iterative reconstruction algorithms Image quality in CT imaging of liver and chest using different iterative reconstruction algorithms, behaved differently depending on dose level, anatomical region and ...
Jensen, Kristin
core   +1 more source

An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials

Advanced Engineering Materials, EarlyView.
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut, Pierre Le Berre, Hamdi Jaballah, Lukas Fink, Victor Poline, Richard Haettel, Stéphane Grenier, Gilbert Chahine, Ewen Bellec, Guillaume Buatier, Wilfried Hortschitz, Santa Pile, Thomas Schrefl, Nils Blanc, Yuan Hong, Thibaut Devillers, Nora M. Dempsey   +16 more
wiley   +1 more source

Gradient Methods with Selection Technique for the Multiple-Sets Split Equality Problem

Mathematics, 2019
The inverse problem is one of the four major problems in computational mathematics. There is an inverse problem in medical image reconstruction and radiotherapy that is called the multiple-sets split equality problem.
Dianlu Tian, Lining Jiang, Luoyi Shi
doaj   +1 more source

Enhancing Bubble Removal in Geometry‐Optimized Electrodes

Advanced Engineering Materials, EarlyView.
3D‐printed lattice electrodes outperform stochastic foams in alkaline water electrolysis despite 20%–25% lower surface area. Straight flow channels generate Venturi‐like bubble entrainment, suppressing gas accumulation that renders foam interiors electrochemically inactive.
Florian Wiesner, Peter Förster, Alexander Limper, Anselm Brodersen, Matthias Wessling, John Linkhorst   +5 more
wiley   +1 more source

Iterative Algorithms for Variational Inequalities Governed by Boundedly Lipschitzian and Strongly Monotone Operators

Journal of Applied Mathematics, 2015
Consider the variational inequality VI(C,F) of finding a point x*∈C satisfying the property 〈Fx*,x-x*〉≥0 for all x∈C, where C is a level set of a convex function defined on a real Hilbert space H and F:H→H is a boundedly Lipschitzian (i.e., Lipschitzian ...
Caiping Yang, Songnian He
doaj   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Improved approximate check polytope projection algorithm of ADMM penalized decoding for LDPC codes in IoTs

Scientific Reports
The alternating direction method of multipliers (ADMM) penalized decoding method is a popular technology for low-density parity-check (LDPC) codes in Internet of Things (IoT) communications.
Yue Zhao, Biao Wang
doaj   +1 more source