Results 51 to 60 of about 7,185 (222)

Phase‐Resolved Dual Control of Phenol Photodissociation at the Air–Water Interface From Structure‐Resolved Statistics

Advanced Science, EarlyView.
Faster phenol photolysis at the air–water interface arises from two cooperative factors: a more favorable initial microenvironment for solvent‐side electron stabilization, which lowers CI access, and a more labile hydrogen‐bond network, which more readily reorganizes to stabilize the dark‐state intermediate.
Qiang Yin, Jialing Shi, Jinping Zhao, Chengjun Li, Yongbo Xie, Benkun Tan, Da Wang, Ziyun Wang, Yu Mao   +8 more
wiley   +1 more source

Hierarchical Federated ADMM

IEEE Networking Letters
In this paper, we depart from the widely-used gradient descent-based hierarchical federated learning (FL) algorithms to develop a novel hierarchical FL framework based on the alternating direction method of multipliers (ADMM). Within this framework, we propose two novel FL algorithms, which both use ADMM in the top layer: one that employs ADMM in the ...
Seyed Mohammad Azimi-Abarghouyi, Nicola Bastianello, Karl Henrik Johansson, Viktoria Fodor   +3 more
openaire   +2 more sources

A two-stage planning model for PV-ESS integrated charging stations considering multi-agent benefits

Zhejiang dianli
With the substantial increase in charging demand from electric vehicle （EV） users， distributed charging stations integrating with photovoltaic （PV） and energy storage systems （ESS） have become significantly interdependent with power distribution networks.
REN Quance, GUO Zhengyang, LI Jiali, ZHU Rui, ZHANG Yan, LI Qiuyun, ZHOU Chengang   +6 more
doaj   +1 more source

Parallel and distributed Machine Learning on Augmented Lagrangian Algorithms [PDF]

International Journal of Electronics and Telecommunications
Constrained optimization is central to large-scale machine learning, particularly in parallel and distributed environments. This paper presents a comprehensive study of augmented Lagrangian–based algorithms for such problems, including classical ...
Anthony Nwachukwu, Andrzej Karbowski
doaj   +1 more source

Speckle Skin‐Based Multimodal Tactile Perception for Fine Robotic Manipulation

Advanced Intelligent Systems, EarlyView.
SpeckleTac, a miniature vision‐based tactile sensor, utilizes a speckle‐pattern skin and optical flow‐based scalable virtual marker tracking. Combined with advanced algorithms, it achieves high‐resolution 3D surface reconstruction, precise contact perception, and stable grasping capabilities.
Jiayuan Zhang, Chong Wang, Yingao Xu, Shihan Wang, Houping Wu, Yulian Peng, Hongbo Wang   +6 more
wiley   +1 more source

Review of millimeter‐wave and terahertz near‐field synthetic aperture radar imaging technology

InfoScience, EarlyView.
Abstract This paper comprehensively reviews the development of millimeter‐wave (MMW) and terahertz (THz) near‐field imaging technologies, with an emphasis on the state of synthetic aperture radar (SAR)‐based imaging technologies. Near‐field imaging technologies are categorized into passive and active imaging modes, among which active imaging is favored
Qi Yang, Hongqiang Wang, Xu Chen, Xin Peng   +3 more
wiley   +1 more source

Linear Convergence Rate of Splitting Algorithms for Multi-Block Constrained Convex Minimizations

IEEE Access, 2020
Multi-block linear constrained separable convex minimizations are ubiquitous and have been drawing increasing attention in recent researches. The alternating direction method of multipliers (ADMM) has been well studied and used in the literature for the ...
Xiaoge Deng, Feng Liu, Feng Huang
doaj   +1 more source

Distributed Algorithms for State Estimation in a Low Voltage Distribution Network [PDF]

, 2012
Sintesi di due algoritmi distribuiti e scalabili per la stima dello stato di una rete elettrica a bassa tensione (smartgrid), utilizzando oso misure di tensione e corrente ai nodi della rete.
Todescato, Marco
core  

Accelerated Variance Reduced Stochastic ADMM

, 2017
Recently, many variance reduced stochastic alternating direction method of multipliers (ADMM) methods (e.g. SAG-ADMM, SDCA-ADMM and SVRG-ADMM) have made exciting progress such as linear convergence rates for strongly convex problems.
Shang, Fanhua, Cheng, James, Liu, Yuanyuan   +2 more
core   +1 more source

Performance of Free‐Running Cardiac and Respiratory Motion‐Resolved Whole‐Heart 5D MRI in Congenital Heart Disease Patients Using a Gadolinium Enhanced Fast‐Interrupted Steady‐State Sequence

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background The performance of 5D imaging in CHD has been previously demonstrated using ferumoxytol rather than gadolinium. Purpose To evaluate the performance of gadolinium enhanced 5D MRI relative to 2D and 3D MRI in CHD patients. Study Type Retrospective.
Christopher W. Roy, Eva Vogeli, Alissia Megalo, Fabienne Dirbach, Jessica A. M. Bastiaansen, Jérôme Yerly, Marco Mueller, David Rodrigues, Jean‐Baptiste Ledoux, Juerg Schwitter, Milan Prša, Estelle Tenisch, Tobias Rutz, Matthias Stuber   +13 more
wiley   +1 more source