过去一年中添加的文章,按日期排序

[PDF][PDF] Utilizing Statistical and Machine Learning Techniques to Improve Tools Identifying Genetic Basis Underlying Complex Traits

J Bian - 2023 - prism.ucalgary.ca
238 天前 - … I will also introduce the procedures of standard permutations (called “Naıve permutation
in … In this case, performing the permutation test is the best procedure [85, 86]. It is a non-…

Tensor Decomposition Based THz Channel Estimation in OTFS for Integrated Sensing and Communications

X Li, B Chang, Z Chen - GLOBECOM 2023-2023 IEEE Global …, 2023 - ieeexplore.ieee.org
239 天前 - matrices satisfying ΛaΛbΛc = I. In addition, Π is an unknown permutation matrix. …
the simulation results to show the performance of the proposed CP decomposition-based …

Hyperparameter optimization: a comparative machine learning model analysis for enhanced heart disease prediction accuracy

Y Rimal, N Sharma - Multimedia Tools and Applications, 2024 - Springer
243 天前 - … The permutation and combination of high and low learning rates with various step
sizes … , and confusion matrix of each optimized model with their model's actual performance

CSENMT: A deep image compressed sensing encryption network via multi-color space and texture feature

X Chai, S Song, Z Gan, G Long, Y Tian, X He - Expert Systems with …, 2024 - Elsevier
254 天前 - … images in visual performance, efficiency and security. … based on sparse matrix,
adaptive permutation based on … row-column permutation to the 3D permutation to improve …

An image encryption based on confusion-diffusion using two chaotic maps and Frobenius endomorphism

A Hilmi, S Mezroui, A El Oualkadi - SAIEE Africa Research …, 2023 - ieeexplore.ieee.org
258 天前 - … based on Henon map to generate the permutation matrix for scrambling the plain
image is … histogram analysis illustrate that the proposed approach reveals a high performance. …

Speech Separation for Multi-speaker Scenarios Based on Tensor Factorization Initialization

X Wu, C Gao, H Liu - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
259 天前 - … does not solve the permutation ambiguity problem. For better separation performance,
we propose … We propose to estimate the spatial covariance matrix of ILRMA using tensor …

Efficient change point detection and estimation in high-dimensional correlation matrices

Z Li, J Gao - Electronic Journal of Statistics, 2024 - projecteuclid.org
269 天前 - … combining a signflip permutation dimension reduction step … components in the
correlation matrix. The theoretical properties … We evaluate the finite performance of two proposed …

Trajectory-based metaheuristics for improving sparse matrix storage

M Freire, R Marichal, E Dufrechou… - 2023 IEEE Latin …, 2023 - ieeexplore.ieee.org
275 天前 - … of the sparse matrix that improve memory performance. Some … permutation is an
invertible function. In this work, we continue the study of permutations of the sparse matrices

Modulation Recognition of Frequency Hopping Signal Based on Graph Convolutional Network

L Shi, H Jiang, Y Lin - 2023 IEEE 23rd International Conference …, 2023 - ieeexplore.ieee.org
284 天前 - … signals and construct adjacency matrix. Subsequently, we … noise performance and
better recognition performance on … features, which we can combine with permutation entropy. …

A framework for interpretation and testing of sparse canonical correlations

N Senar, M van de Wiel, A Zwinderman… - arXiv preprint arXiv …, 2023 - arxiv.org
300 天前 - … We examined the performance of our approach with … Moreover, we compared its
performance to Penalised Matrix … We then followed with permutation testing for the estimated …