Results 91 to 100 of about 7,185 (222)

Water/Fat Separated Echo Planar Time‐Resolved Imaging (WFS‐EPTI) for Distortion‐Free Multi‐Contrast MRI

Magnetic Resonance in Medicine, Volume 96, Issue 2, Page 580-595, August 2026.
ABSTRACT Purpose Echo‐planar time‐resolved imaging (EPTI) provides distortion‐ and T2/T2* blurring‐free multi‐echo/multi‐contrast imaging with fast speed, making it an efficient acquisition method for various MRI applications. Here, we aim to achieve water–fat separation for EPTI to improve fat signal removal for brain/body imaging applications. Theory
Zhangxuan Hu, Timothy G. Reese, Lawrence L. Wald, Jonathan R. Polimeni, Zijing Dong, Fuyixue Wang   +5 more
wiley   +1 more source

Federated Smoothing ADMM for Localization

CoRR
This paper addresses the challenge of localization in federated settings, which are characterized by distributed data, non-convexity, and non-smoothness. To tackle the scalability and outlier issues inherent in such environments, we propose a robust algorithm that employs an $\ell_1$-norm formulation within a novel federated ADMM framework.
Reza Mirzaeifard, Ashkan Moradi, Masahiro Yukawa, Stefan Werner 0001   +3 more
openaire   +2 more sources

The ADMM Penalized Decoder for LDPC Codes

IEEE Transactions on Information Theory, 2016
This work was supported by the National Science Foundation (NSF) under Grants CCF-1217058 and by a Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Research Grant. This paper was submitted to IEEE Trans.
Xishuo Liu, Stark C. Draper
openaire   +2 more sources

Probabilistic multi-agent pose graph filtering on SE(3) via distributed ADMM and stein particle gradient descent

SICE Journal of Control, Measurement, and System Integration
This paper proposes a novel distributed probabilistic pose graph filtering framework on SE(3). It integrates ADMM with Stein Variational Gradient Descent (SVGD) to address multi-modal, non-Gaussian posteriors in multi-robot SLAM.
Tomoki Arita, Toru Namerikawa
doaj   +1 more source

Large Scale Resource Allocation for the Internet of Things Network Based on ADMM

IEEE Access, 2020
Large scale deployment of Internet of Things (IoT) devices poses challenges in resource allocation. In this paper, alternating direction method of multipliers (ADMM) is adopted to solve such large scale resource allocation problems.
Yanhua He, Sunxuan Zhang, Liangrui Tang, Yun Ren   +3 more
doaj   +1 more source

FlowVN Trained on a Single Dataset Enables Rapid Reconstruction of Highly Accelerated 4D Flow MRI Across Multiple Sites

Magnetic Resonance in Medicine, Volume 96, Issue 1, Page 374-386, July 2026.
ABSTRACT Purpose The aim of this study is to evaluate a deep variational network, FlowVN, for the reconstruction of heavily undersampled 4D Flow MRI across multiple sites. Methods FlowVN was trained on fully sampled 4D Flow MRI datasets of healthy volunteers from one site. The model was tested on retrospective undersampled data (R = 6–22) of six normal
Sohaib Ayaz Qazi, Tamara Bianchessi, Federica Viola, Chiara Trenti, Erik Ylipää, Tino Ebbers, Petter Dyverfeldt   +6 more
wiley   +1 more source

Sparse Array Beamformer Design via ADMM

, 2022
In this paper, we devise a sparse array design algorithm for adaptive beamforming. Our strategy is based on finding a sparse beamformer weight to maximize the output signal-to-interference-plus-noise ratio (SINR). The proposed method uses the alternating
Zoubir, Abdelhak M., Abdelhak M. Zoubir, Hing Cheung So, So, Hing Cheung, Huang, Huiping, Huiping Huang   +5 more
core   +1 more source

Upscaling the Strength Domain of Heterogeneous Cohesive‐Frictional Materials via a General FFT‐Based Limit Analysis Approach

International Journal for Numerical Methods in Engineering, Volume 127, Issue 12, 30 June 2026.
ABSTRACT Limit analysis and yield design provide a well‐defined mathematical framework for upscaling the strength properties of heterogeneous materials. These techniques can be incorporated into an FFT‐based computational micromechanics framework to evaluate the strength of heterogeneous materials, based on images of their microstructure.
Elodie Donval, Matti Schneider
wiley   +1 more source

Distributed Optimal Scheduling of Electricity–Gas–Heating System Based on Improved Alternating Direction Method of Multipliers

Applied Sciences, 2020
With the joint optimization of the electricity−gas−heating system (EGHS) attracting more and more attention, a distributed optimized scheduling framework for EGHS based on an improved alternating direction method of multipliers (ADMM ...
Hanxin Zhu, Tao Yu, Weicong Wu, Zhuohuan Li   +3 more
doaj   +1 more source

Low‐Carbon Optimal Scheduling of Multiple Virtual Power Plants Based on Asymmetric Nash Bargaining

Energy Science &Engineering, Volume 14, Issue 6, Page 2874-2896, June 2026.
ABSTRACT To effectively investigate the structural discrepancies and complementary energy characteristics among multiple virtual power plants (VPPs), and to improve the economic efficiency, low‐carbon performance, and operational reliability of the multi‐agent system, this paper proposes a low‐carbon collaborative optimal operation strategy for ...
Junjie Qiu, Min Liu, Yang Peng, Haiqiang Zhao, Yuanda Wu, Yongyuan Tian   +5 more
wiley   +1 more source