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14 papers · ranked by Valyu relevance

01
PPubMed17 Apr 2025
An Accelerated Maximum Flow Algorithm with Prediction Enhancement in Dynamic LEO Networks
Jiayin Sheng, Xinjie Guan, Fuliang Yang, Xili Wan + 1 more
Efficient data transmission in low Earth orbit (LEO) satellite networks is critical for supporting real-time global communication, Earth observation, and numerous data-intensive space missions. A fundamental challenge in these networks involves solving the maximum flow problem, which determines the optimal data…
76relevance
02
PPubMed1 Mar 2026
Computing Rate–Distortion Functions of Continuous Memoryless Sources via Discrete Algorithms: An Integrated Scheme with Convergence Guarantee and Algorithmic Acceleration
Lingyi Chen, Haoran Tang, Hao Wu, Huihui Wu + 3 more
Numerical computation of the rate-distortion (RD) function is a key problem in RD theory. Thus far, efficient algorithms have been well studied for discrete sources, but for continuous sources, there is still lack of a rigorously developed solution. In this article, an integrated approach is conducted that bridges RD…
75relevance
03
PPubMed3 Jul 2024
NALA: a Nesterov accelerated look-ahead optimizer for deep learning
Xuan Zuo, Hui-Yan Li, Shan Gao, Pu Zhang + 2 more
Adaptive gradient algorithms have been successfully used in deep learning. Previous work reveals that adaptive gradient algorithms mainly borrow the moving average idea of heavy ball acceleration to estimate the first- and second-order moments of the gradient for accelerating convergence. However, Nesterov acceleration…
74relevance
04
PPubMed30 Dec 2024
Large-scale acceleration algorithms for a deep convective physical parameterization scheme on GPU Large-scale acceleration algorithms
Yongfei Wang, Junping Wang, Jiarui Tian, Lin Li + 4 more
'Fang Peng' 'Hu Ke' 'Alberto Marchisio'] Early warning of geological hazards requires monitoring extreme weather conditions, such as heavy rainfall. Atmospheric circulation models are used for weather forecasting and climate simulation. As a critical physical process in atmospheric circulation models, the…
74relevance
05
PPubMed4 Mar 2025
Accelerated algorithms for source orientation detection and spatiotemporal LCMV beamforming in EEG source localization
Ava Yektaeian Vaziri, Bahador Makkiabadi
This paper illustrates the development of two efficient source localization algorithms for electroencephalography (EEG) data, aimed at enhancing real-time brain signal reconstruction while addressing the computational challenges of traditional methods. Accurate EEG source localization is crucial for applications in…
73relevance
06
PPubMed21 Apr 2025
Accelerated first-order optimization under nonlinear constraints
Michael Muehlebach, Michael I. Jordan
We exploit analogies between first-order algorithms for constrained optimization and non-smooth dynamical systems to design a new class of accelerated first-order algorithms for constrained optimization. Unlike Frank-Wolfe or projected gradients, these algorithms avoid optimization over the entire feasible set at each…
73relevance
07
PPubMed2 Feb 2024
Implementation and analysis of a parallel kalman filter algorithm for lidar localization based on CUDA technology Mochurad 10.3389/frobt.2024.1341689
Lesia Mochurad
Introduction: Navigation satellite systems can fail to work or work incorrectly in a number of conditions: signal shadowing, electromagnetic interference, atmospheric conditions, and technical problems. All of these factors can significantly affect the localization accuracy of autonomous driving systems. This…
72relevance
08
PPubMed12 Aug 2022
Accelerated Deconvolved Imaging Algorithm for 2D Multibeam Synthetic Aperture Sonar
Bo Wei, Chuanlin He, Siyu Xing, Yi Zheng + 1 more
High-accuracy level underwater acoustical surveying plays an important role in ocean engineering applications, such as subaqueous tunnel construction, oil and gas exploration, and resources prospecting. This novel imaging method is eager to break through the existing theory to achieve a higher accuracy level of…
72relevance
09
PPubMed20 Jul 2026
CNEwrap: a scalable toolkit with a novel algorithm for large-scale genome-wide accelerated conserved non-coding elements detection
Ruihan Li, Wei Wu, Chaochao Yan, Jia-Tang Li
Conserved non-coding elements (CNEs) are fundamental components of gene regulatory networks in eukaryotes, yet their reliable identification across large-scale genomes and systematic evaluation of their genetic variation remains technically challenging, limiting comprehensive insights into their functional roles. To…
71relevance
10
PPubMed12 Jun 2026
Accelerating Active Learning for Image Classification Through FPGA-Based Implementation
Angelo Barbieri, Christopher A. Flores, Wladimir Valenzuela, Francisco Saavedra + 1 more
Image sensors produce high-dimensional visual data for classification algorithms. Deep Neural Networks (DNNs) achieve high accuracy but require large labeled datasets and computational and energy resources, limiting their use in embedded systems. Active Learning (ALrn) can reduce labeling effort by selecting samples…
70relevance
11
PPubMed5 Jan 2022
MIMO Radar Parallel Simulation System Based on CPU/GPU Architecture
Gaogao Liu, Wenbo Yang, Peng Li, Guodong Qin + 6 more
'Youming Wang' 'Shuai Wang' 'Ning Yue' 'Dongjie Huang' 'Luís Castedo Ribas'] The data volume and computation task of MIMO radar is huge; a very high-speed computation is necessary for its real-time processing. In this paper, we mainly study the time division MIMO radar signal processing flow, propose an improved MIMO…
69relevance
12
PPubMed13 Oct 2023
Parallelized Particle Swarm Optimization on FPGA for Realtime Ballistic Target Tracking
Juhyeon Park, Heoncheol Lee, Hyuck-Hoon Kwon, Yeji Hwang + 2 more
'Wonseok Choi' 'Wei Yi'] This paper addresses the problem of tracking a high-speed ballistic target in real time. Particle swarm optimization (PSO) can be a solution to overcome the motion of the ballistic target and the nonlinearity of the measurement model. However, in general, particle swarm optimization requires a…
65relevance
13
PPubMed23 Aug 2022
Natural Aging Life Prediction of Rubber Products Using Artificial Bee Colony Algorithm to Identify Acceleration Factor
Xiaohui Guo, Xiaojing Yuan, Genliang Hou, Ze Zhang + 4 more
'Ivana Salopek Čubrić' 'Goran Čubrić' 'Abhijit Majumdar'] We aim to predict the natural aging life of 8016 ethylene propylene rubber accurately and quickly. Based on the time-temperature equivalent superposition principle, the artificial bee colony algorithm was introduced to calculate the acceleration factor of the…
65relevance
14
PPubMed3 Jun 2024
Accelerating electrostatic particle-in-cell simulation: A novel FPGA-based approach for efficient plasma investigations A novel FPGA-based approach for efficient plasma investigations
Abedalmuhdi Almomany, Muhammed Sutcu, Babul Salam K. S. M. Kader Ibrahim, Alexandre Bonatto
'Babul Salam K. S. M. Kader Ibrahim' 'Alexandre Bonatto'] Particle-in-cell (PIC) simulation serves as a widely employed method for investigating plasma, a prevalent state of matter in the universe. This simulation approach is instrumental in exploring characteristics such as particle acceleration by turbulence and…
63relevance

Results for accelerated algorithm

An Accelerated Maximum Flow Algorithm with Prediction Enhancement in Dynamic LEO Networks

Computing Rate–Distortion Functions of Continuous Memoryless Sources via Discrete Algorithms: An Integrated Scheme with Convergence Guarantee and Algorithmic Acceleration

NALA: a Nesterov accelerated look-ahead optimizer for deep learning

Large-scale acceleration algorithms for a deep convective physical parameterization scheme on GPU Large-scale acceleration algorithms

Accelerated algorithms for source orientation detection and spatiotemporal LCMV beamforming in EEG source localization

Accelerated first-order optimization under nonlinear constraints

Implementation and analysis of a parallel kalman filter algorithm for lidar localization based on CUDA technology Mochurad 10.3389/frobt.2024.1341689

Accelerated Deconvolved Imaging Algorithm for 2D Multibeam Synthetic Aperture Sonar

CNEwrap: a scalable toolkit with a novel algorithm for large-scale genome-wide accelerated conserved non-coding elements detection

Accelerating Active Learning for Image Classification Through FPGA-Based Implementation

MIMO Radar Parallel Simulation System Based on CPU/GPU Architecture

Parallelized Particle Swarm Optimization on FPGA for Realtime Ballistic Target Tracking

Natural Aging Life Prediction of Rubber Products Using Artificial Bee Colony Algorithm to Identify Acceleration Factor

Accelerating electrostatic particle-in-cell simulation: A novel FPGA-based approach for efficient plasma investigations A novel FPGA-based approach for efficient plasma investigations

An Accelerated Maximum Flow Algorithm with Prediction Enhancement in Dynamic LEO Networks

Computing Rate–Distortion Functions of Continuous Memoryless Sources via Discrete Algorithms: An Integrated Scheme with Convergence Guarantee and Algorithmic Acceleration

NALA: a Nesterov accelerated look-ahead optimizer for deep learning

Large-scale acceleration algorithms for a deep convective physical parameterization scheme on GPU Large-scale acceleration algorithms

Accelerated algorithms for source orientation detection and spatiotemporal LCMV beamforming in EEG source localization

Accelerated first-order optimization under nonlinear constraints

Implementation and analysis of a parallel kalman filter algorithm for lidar localization based on CUDA technology Mochurad 10.3389/frobt.2024.1341689

Accelerated Deconvolved Imaging Algorithm for 2D Multibeam Synthetic Aperture Sonar

CNEwrap: a scalable toolkit with a novel algorithm for large-scale genome-wide accelerated conserved non-coding elements detection

Accelerating Active Learning for Image Classification Through FPGA-Based Implementation

MIMO Radar Parallel Simulation System Based on CPU/GPU Architecture

Parallelized Particle Swarm Optimization on FPGA for Realtime Ballistic Target Tracking

Natural Aging Life Prediction of Rubber Products Using Artificial Bee Colony Algorithm to Identify Acceleration Factor

Accelerating electrostatic particle-in-cell simulation: A novel FPGA-based approach for efficient plasma investigations A novel FPGA-based approach for efficient plasma investigations