Results 81 to 90 of about 1,708,415 (229)

Novel Ensemble Prediction Framework for Fast and Accurate Phase Prediction in FeNiCoCrAlCu High‐Entropy Alloys by Integrating Data Augmentation and Interpretable Methods

Materials Genome Engineering Advances, EarlyView.
A physics‐informed machine learning framework is established for phase prediction in FeNiCoCrAlCu HEA. Limited experimental data are expanded through GMM‐based augmentation, followed by descriptor calculation, Pearson‐PCA feature optimization, stacking ensemble classification, and SHAP interpretation, enabling accurate phase identification and ...
Ruixiao Zhang, Biao Chen, Ruihao Yuan, Yi Williams Wang, Jun Wang, Jinshan Li   +5 more
wiley   +1 more source

Similarity Learning-Induced Symmetric Nonnegative Matrix Factorization for Image Clustering

IEEE Access, 2019
As a typical variation of nonnegative matrix factorization (NMF), symmetric NMF (SNMF) is capable of exploiting information of the cluster embedded in the matrix of similarity.
Wei Yan, Bob Zhang, Zuyuan Yang, Shengli Xie   +3 more
doaj   +1 more source

A highly accurate numerical method for solving boundary value problem of generalized Bagley‐Torvik equation

Mathematical Methods in the Applied Sciences, EarlyView.
A highly accurate numerical method is given for the solution of boundary value problem of generalized Bagley‐Torvik (BgT) equation with Caputo derivative of order 0<β<2$$ 0<\beta <2 $$ by using the collocation‐shooting method (C‐SM). The collocation solution is constructed in the space Sm+1(1)$$ {S}_{m+1}^{(1)} $$ as piecewise polynomials of degree at ...
Suzan Cival Buranay, Mtema James Chin, Nazim I. Mahmudov   +2 more
wiley   +1 more source

Nonnegative matrix factorization and metamorphic malware detection [PDF]

, 2019
Metamorphic malware change their internal code structure by adopting code obfuscation technique while maintaining their malicious functionality during each infection. This causes change of their signature pattern across each infection and makes signature
Abdul Hamid, Nor Asilah Wati, Ling, Yeong Tyng, Abdullah, Mohd Taufik, Mohd Sani, Nor Fazlida   +3 more
core   +3 more sources

An Implicit Nodal–Staggered Finite Difference Scheme for Damped Shear Beam Models Without Rotational Inertia

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT We develop and analyze a fully discrete finite difference approximation for a damped shear beam model with mixed boundary conditions and no rotational inertia. The absence of a second‐order time derivative in the rotational equation gives rise to an asymmetric temporal structure.
Anderson de Jesus Araújo Ramos, André Fellipe Ribeiro de Almeida, Manoel Jeremias Dos Santos, Carlos Alberto da Silva Nonato   +3 more
wiley   +1 more source

Sparsity induced convex nonnegative matrix factorization algorithm with manifold regularization

Tongxin xuebao, 2020
To address problems that the effectiveness of feature learned from real noisy data by classical nonnegative matrix factorization method,a novel sparsity induced manifold regularized convex nonnegative matrix factorization algorithm (SGCNMF) was proposed ...
Feiyue QIU, Bowen CHEN, Tieming CHEN, Guodao ZHANG   +3 more
doaj   +2 more sources

A Constrained Sparse Algorithm for Nonnegative Matrix Factorization

工程科学与技术, 2015
:Aiming at the lack of sparseness of factorization matrix in the nonnegative matrix factorization (NMF) algorithm,a new constrained NMF algorithm was proposed.A sparseness constraint was added to the original nonnegative matrix factorization (NMF ...
李臣明, 张师明, 李昌利
doaj  

On the geometric interpretation of the nonnegative rank [PDF]

The nonnegative rank of a nonnegative matrix is the minimum number of nonnegative rank-one factors needed to reconstruct it exactly. The problem of determining this rank and computing the corresponding nonnegative factors is difficult; however it has ...
GILLIS, Nicolas, GLINEUR, François
core  

Markov‐Associated Quadratic Stochastic Families and the Susceptible‐Infected‐Recovered (SIR) Model

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT We introduce a Markov‐associated construction for quadratic stochastic families generated by a symmetric cubic stochastic matrix and a finite‐state homogeneous Markov semigroup. The constructed family is not assumed to be a classical quadratic stochastic process of type (A)$$ (A) $$ or type (B)$$ (B) $$; rather, it is a Markov‐associated ...
Taimun Qaisar, Farrukh Mukhamedov, Youssef El‐Khatib, Mahmoud Alhaj Hasan   +3 more
wiley   +1 more source

Parallel Nonnegative Matrix Factorization with Manifold Regularization

Journal of Electrical and Computer Engineering, 2018
Nonnegative matrix factorization (NMF) decomposes a high-dimensional nonnegative matrix into the product of two reduced dimensional nonnegative matrices.
Fudong Liu, Zheng Shan, Yihang Chen
doaj   +1 more source