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Comparative effects of ball sports on executive function subdomains in children and adolescents: a network meta-analysis. [PDF]
Zhang T +5 more
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Recent advancements of wastewater treatment by photocatalysis: A comprehensive review. [PDF]
Swamy KR +4 more
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Random-Order Ballistic Training Improves Throwing Distance in Resistance-Trained Males. [PDF]
Yaghoubi M +5 more
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Stochastic Heavy-Ball Method for Constrained Stochastic Optimization Problems
Acta Mathematica Vietnamica, 2020zbMATH 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), 2021Stochastic 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
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
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), 2019Linear 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 AutomáticoThis 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
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
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

