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Research article

First published 2024-7

A structured iterative division approach for non-sparse regression models and applications in biological data analysis

Shun Yu, Yuehan Yang

Statistical Methods in Medical Research

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Research article

First published 2019-6

A sparse surrogate model for structural reliability analysis based on the generalized polynomial chaos expansion

Qian Liu, Xufang Zhang, Xianzhen Huang

Proceedings of the Institution of Mechanical Engineers,Part O: Journal of Risk and Reliability

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Research article

First published 2016-2

A hybrid format for better performance of sparse matrix-vector multiplication on a GPU

Dahai Guo, William Gropp, Luke N Olson

The International Journal of High Performance Computing Applications

Open access

Research article

First published 2020

Study on filtration performance of elliptical fiber with different arrangements

JiaWei Zhou, Liang Zhang, Bo Zhang [...]

Journal of Engineered Fibers and Fabrics

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Research article

First published 2026

Architecture specific generation of large scale lattice Boltzmann methods for sparse complex geometries

Philipp Suffa, Markus Holzer, Harald Köstler [...]

The International Journal of High Performance Computing Applications

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Other

First published 2004-02

Sparsity: Optimization Framework for Sparse Matrix Kernels

Eun-Jin Im, Katherine Yelick, Richard Vuduc

The International Journal of High Performance Computing Applications

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Research article

First published 2021-05-11

Sparse angle CT reconstruction with weighted dictionary learning algorithm based on adaptive group-sparsity regularization

Tiejun Yang, Lu Tang, Qi Tang [...]

Journal of X-Ray Science and Technology

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Research article

First published 2022-5

Estimation of the proportion of true null hypotheses under sparse dependence: Adaptive FDR controlling in microarray data

Aniket Biswas, Subrata Chakraborty, Vishwa Jyoti Baruah

Statistical Methods in Medical Research

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Research article

First published 2025-11

Structural optimization of nested circular arrays under compressed sensing theory

Xiaohui Liu, Qiannian Cao, Shuai Wang [...]

Noise & Vibration Worldwide

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Research article

First published 2020-11

A machine learning–based approach for adaptive sparse time–frequency analysis used in structural health monitoring

Yuequan Bao, Yibing Guo, Hui Li

Structural Health Monitoring

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