Results 51 to 60 of about 7,782 (177)
Hyperspectral Imaging: The Intelligent Eye to Uncover the Password of Plant Science
Hyperspectral imaging (HSI) has emerged as a powerful non‐destructive technique for characterisation of the plant phenotype and physiological traits. The ongoing development of cost‐effective hardware, coupled with standardised acquisition protocols and open‐access spectral libraries, is accelerating its integration with multi‐omics approaches to ...
Jingyan Song +17 more
wiley +1 more source
Parallel Nonnegative Matrix Factorization with Manifold Regularization
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
This paper proposes a brand-new method to perform safety monitoring using images for steel coil marking industrial processes. The new safety monitoring method is developed with the aid of a new graph-regularized semi-supervised nonnegative matrix ...
Song Fan, Qilong Jia, Wan Sheng Cheng
doaj +1 more source
SAR Target Recognition via Incremental Nonnegative Matrix Factorization
In synthetic aperture radar (SAR) target recognition, the amount of target data increases continuously, and thus SAR automatic target recognition (ATR) systems are required to provide updated feature models in real time.
Sihang Dang +3 more
doaj +1 more source
EDS Analysis for Petrology: A Probabilistic Framework With GPyEDS
Abstract Microtextural and chemical data from minerals in igneous rocks are critical for unpacking and developing understanding of processes in magmatic systems. Recent advancements leveraging unsupervised machine learning methods offer novel approaches for phase classification without requiring prior knowledge of phases or chemistry.
Norbert Toth +3 more
wiley +1 more source
Nonnegative matrix factorization-based image representation algorithms have been widely applied to deal with high-dimensional data in the past few years.
Zhenqiu Shu +4 more
doaj +1 more source
Impact of the Choice of Normalization Method on Molecular Cancer Class Discovery Using Nonnegative Matrix Factorization. [PDF]
Nonnegative Matrix Factorization (NMF) has proved to be an effective method for unsupervised clustering analysis of gene expression data. By the nonnegativity constraint, NMF provides a decomposition of the data matrix into two matrices that have been ...
Haixuan Yang, Cathal Seoighe
doaj +1 more source
Latent Multi-View Semi-Nonnegative Matrix Factorization with Block Diagonal Constraint
Multi-view clustering algorithms based on matrix factorization have gained enormous development in recent years. Although these algorithms have gained impressive results, they typically neglect the spatial structures that the latent data representation ...
Lin Yuan +3 more
doaj +1 more source
This work constructs magnetic nanoparticles (MNPs) and incorporates them with silver rods coated with 125I to form a novel composite seed, which exhibits direction‐independent and self‐regulated heating efficiency, as well as the capacity of preventing MNPs leakage and enabling repeated hyperthermia.
Bin Xu +22 more
wiley +1 more source
New trend in molecular diagnostics: Insights from the tumor microenvironment
The graphical abstract outline the key elements in TME‐based molecular diagnostics, including biomarker exploration, diagnostic methods, and diagnostic models. Source: Created with BioRender.com. Abstract Molecular diagnosis has revolutionized cancer precision medicine.
Baiyuan Fan +3 more
wiley +1 more source

