Results 71 to 80 of about 32,855 (298)
MathematicsIn this paper, a Toeplitz construction method based on eigenvalues and eigenvectors is proposed to combine with traditional denoising algorithms, including fractional low-order moment (FLOM), phased fractional low-order moment (PFLOM), and correntropy ...
Junyan Cui, Wei Pan, Haipeng Wang
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VISUAL MACHINE LEARNING: INSIGHT THROUGH EIGENVECTORS, CHLADNI PATTERNS, AND COMMUNITY DETECTION IN 2D PARTICULATE STRUCTURES [PDF]
, 2022 Raj Kishore +6 more
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Agribusiness, EarlyView.ABSTRACT Social tensions and resource depletion pose significant challenges to the agri‐food sector, highlighting the need for coordinated strategies to ensure sustainability in supply chains. Despite its critical importance, the relationship between coordination mechanisms and sustainability performance remains underexplored.
Carlos Moreno‐Miranda, Liesbeth Dries
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On Bethe eigenvectors and higher transfer matrices for supersymmetric spin chains [PDF]
, 2022 Kang Lu
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Tree decomposition by eigenvectors
Linear Algebra and its Applications, 2009 25 ...
Sander, T., Sander, J.W.
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A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons
Advanced Intelligent Discovery, EarlyView.We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam +5 more
wiley +1 more source
Biology, Medicine & Natural Product Chemistry, 2017 This research aims to determine the number of female residents in Trenggalek Regency in 2021 based on data on birth rate and life expectancy. The use of eigenvalues and eigenvectors aims to determine the dividing age distribution by Leslie matrix model ...
Dewi Anggreini
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Explicit formulas concerning eigenvectors of weakly non-unitary matrices
, 2021 Guillaume Dubach
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Advanced Intelligent Discovery, EarlyView.This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source