Results 251 to 260 of about 12,502,488 (286)

Recent advancements of wastewater treatment by photocatalysis: A comprehensive review. [PDF]

open access: yesiScience
Swamy KR   +4 more
europepmc   +1 more source

Random-Order Ballistic Training Improves Throwing Distance in Resistance-Trained Males. [PDF]

open access: yesEur J Sport Sci
Yaghoubi M   +5 more
europepmc   +1 more source

Stochastic Heavy-Ball Method for Constrained Stochastic Optimization Problems

Acta Mathematica Vietnamica, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ali Farajzadeh   +2 more
exaly   +4 more sources

Stochastic Euler Heavy Ball Method

2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), 2021
Stochastic Heavy Ball method (SHB) has been widely used in various machine learning and deep learning tasks due to its superior generalization performance.
Zhou Shao, Junyan Liu, Tong Lin
semanticscholar   +2 more sources

Collaborative Active and Reactive Power Control of DERs for Voltage Regulation and Frequency Support by Distributed Event-Triggered Heavy Ball Method

IEEE Transactions on Smart Grid, 2023
The increasing integration of distributed energy resources (DERs) into distribution networks draws great attention to the advanced voltage control. Meanwhile, DERs scattered in distribution networks also show potential to provide frequency support.
Qiuwei Wu, Xuan Zhang, Chuanhao Hu
exaly   +2 more sources

Parallel Approaches in the Heavy Ball GMRES Method

2019 31st International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2019
Linear system is a useful mathematical model that is used in many research areas. This paper presents a parallelism study that considers a recent iterative method to solve large sparse linear systems, called Heavy Ball Generalized Minimal Residual (HBGMRES) method.
Cristiane O Faria
exaly   +3 more sources

Enhanced Accuracy of Adaptive Observers via the Heavy–Ball Method

Memorias del Congreso Nacional de Control Automático
This paper proposes a heavy–ball algorithm–based adaptive observer for the simultaneous estimation of states and constant parameters in a class of uncertain nonlinear systems subject to external disturbances.
H. Ríos   +3 more
semanticscholar   +2 more sources

A Radical Heavy-Ball Method for Gradient Acceleration in Communication-Efficient Mobile Federated Learning

IEEE Transactions on Mobile Computing
Federated Learning (FL) is widely used in mobile computing as a communication-efficient distributed machine learning (ML) paradigm; however, it faces challenges such as model convergence to local optima or slow convergence due to the heterogeneity of ...
Boyuan Li   +6 more
semanticscholar   +3 more sources

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