Results 61 to 70 of about 22,663 (297)

Strong Convergence Algorithms Involving Two Iterative Sequences for Solving Common Fixed Point Problems With an Application

Journal of Mathematics
The goal of this study is dedicated to the research on the fixed point iterative algorithm for solving the common fixed point problems in Hilbert spaces.
Shengquan Weng, Hongying Xiao
doaj   +1 more source

A weighted denoising method based on Bregman iterative regularization and gradient projection algorithms

Journal of Inequalities and Applications, 2017
A weighted Bregman-Gradient Projection denoising method, based on the Bregman iterative regularization (BIR) method and Chambolle’s Gradient Projection method (or dual denoising method) is established.
Beilei Tong
doaj   +1 more source

X-ray dose reduction in abdominal computed tomography using advanced iterative reconstruction algorithms. [PDF]

PLoS ONE, 2014
OBJECTIVE: This work aims to explore the effects of adaptive statistical iterative reconstruction (ASiR) and model-based iterative reconstruction (MBIR) algorithms in reducing computed tomography (CT) radiation dosages in abdominal imaging.
Peigang Ning, Shaocheng Zhu, Dapeng Shi, Ying Guo, Minghua Sun   +4 more
doaj   +1 more source

Quantum algorithm for spectral projection by measuring an ancilla iteratively

Physical Review A, 2020
18 pages, 15 figures, 1 table; close to the published ...
Yanzhu Chen, Tzu-Chieh Wei
openaire   +3 more sources

Phase Field Failure Modeling: Brittle‐Ductile Dual‐Phase Microstructures under Compressive Loading

Advanced Engineering Materials, EarlyView.
The approach by Amor and the approach by Miehe and Zhang for asymmetric damage behavior in the phase field method for fracture are compared regarding their fitness for microcrack‐based failure modeling. The comparison is performed for the case of a dual‐phase microstructure with a brittle and a ductile constituent.
Jakob Huber, Jan Torgersen, Ewald Werner
wiley   +1 more source

The convergence and numerical analysis of shrinking projection algorithms with two iterative sequences and hybrid midpoint rules in Hilbert spaces

Open Mathematics
In this paper, firstly, based on Halpern iterative algorithm, Mann iterative algorithm, shrinking projection algorithm and hybrid midpoint rules, we introduce two modified strong convergence algorithms for nonexpansive mappings.
Weng Shengquan, Xiao Hongying, Xu Mingming   +2 more
doaj   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

Linear Interpolation Method for Adversarial Attack [PDF]

Jisuanji kexue
Deep neural networks exhibit significant vulnerability in the face of adversarial examples and are prone to attacks.The construction of adversarial examples can be abstracted as an optimization problem that maximizes the objective function.How-ever ...
CHEN Jun, ZHOU Qiang, BAO Lei, TAO Qing
doaj   +1 more source

An analytical iterative statistical algorithm for image reconstruction from projections [PDF]

International Journal of Applied Mathematics and Computer Science, 2014
Abstract The main purpose of the paper is to present a statistical model-based iterative approach to the problem of image reconstruction from projections. This originally formulated reconstruction algorithm is based on a maximum likelihood method with an objective adjusted to the probability distribution of measured signals obtained from an x-ray ...
openaire   +1 more source