New methods can help study the phenomenon of turbulence

In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...
EurekAlert!

Smarter SAR phase linking expands deformation monitoring

A new radar imaging method could make ground deformation monitoring denser, cleaner, and more reliable across complex ...
EurekAlert!

Identifying pollutant origins: combustion vs. historical emissions in Yangtze River Estuary air

A detailed atmospheric study in the Yangtze River Estuary has successfully distinguished the sources of harmful ...
Scientific Research Publishing

An Explainable Wavelet-Based Feature Decomposition and Machine Learning Framework for Land Cover Classification ()

1 Department of Geomatic Engineering, University of Mines and Technology, Tarkwa, Ghana. 2 Department of Geomatic and Civil Engineering, University of Mines and Technology, Essikado, Ghana. Accurate ...
Scientific Research Publishing

Devarajan, K. (2008) Nonnegative Matrix Factorization: An Analytical and Interpretive Tool in Computational Biology. PLOS Computational Biology, 4, e1000029.

ABSTRACT: In this paper, an Optimal Predictive Modeling of Nonlinear Transformations “OPMNT” method has been developed while using Orthogonal Nonnegative Matrix Factorization “ONMF” with the ...
TechRepublic

Cisco Talos Researcher Reveals Method That Causes LLMs to Expose Training Data

Cisco Talos Researcher Reveals Method That Causes LLMs to Expose Training Data Your email has been sent In this TechRepublic interview, Cisco researcher Amy Chang details the decomposition method and ...
IEEE

An Innovative Low-Rank Sparse Matrix Decomposition Clutter Suppression Method Based on Non-Convex Alternatives for Pseudo-Random-Coded Ground-Penetrating Radar

Abstract: This article analyzes the composition and characteristics of echo signals in a pseudorandom-coded ground-penetrating radar (GPR). Based on these characteristics, an innovative low-rank ...
Frontiers

Geochemical-process extraction and interpretation using matrix factorization: a framework for verifying effectiveness through forward modeling and inversion analysis

Matrix factorization techniques, such as principal component analysis (PCA) and independent component analysis (ICA), are widely used to extract geological processes from geochemical data. However, ...
Frontiers

The established chest MRI score for cystic fibrosis can be applied to contrast agent-free matrix pencil decomposition functional MRI: a multireader analysis

Established morpho-functional chest magnetic resonance imaging (MRI) detects abnormalities in lung morphology and perfusion in people with cystic fibrosis (pwCF) using a dedicated scoring system.