Results 101 to 110 of about 282,422 (272)
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
ON THE CONSISTENCY AND ROBUSTNESS PROPERTIES OF LINEAR DISCRIMINANT ANALYSIS [PDF]
Strong consistency of linear discriminant analysis is established under wide assumptions on the class conditional densities. Robustness to the presence of a mild degree of class dispersion heterogeneity is also analyzed.
Adolfo Hemández, Santiago Velilla
core
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets +4 more
wiley +1 more source
Local kernel nonparametric discriminant analysis for adaptive extraction of complex structures
The linear discriminant analysis (LDA) is one of popular means for linear feature extraction. It usually performs well when the global data structure is consistent with the local data structure.
Li Quanbao, Wei Fajie, Zhou Shenghan
doaj +1 more source
A sequential linear discriminant analysis program for geological and remotely-sensed data [PDF]
Sequential linear discriminant analysis program for geological and remotely sensed ...
Whitten, E. H. T.
core +1 more source
An Efficient Greedy Search Algorithm for High-dimensional Linear Discriminant Analysis. [PDF]
Yang H, Lin DY, Li Q.
europepmc +1 more source
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren +10 more
wiley +1 more source
Recent Trends in Metabolomics by NMR Spectroscopy
AI tools were applied to analyze more than 5 000 publications indexed in Scopus (2018–2025), identifying key trends and research directions in NMR‐based metabolomics. The artificial intelligence‐assisted workflow classified papers into six main fields of application, human health, food and nutrition, veterinary science, plants, environment, and ...
Giorgio Di Paco +6 more
wiley +2 more sources
Discriminant Analysis with Spatial Weights for Urban Land Cover Classification [PDF]
Classifying urban area images is challenging because of the heterogeneous nature of the urban landscape resulting in mixed pixels and classes with highly variable spectral ranges. Approaches using ancillary data, such as knowledge based or expert systems,
Elizabeth A. Wentz +5 more
core
Application of Near-Infrared Spectroscopy and Fuzzy Improved Null Linear Discriminant Analysis for Rapid Discrimination of Milk Brands. [PDF]
Wu X, Fang Y, Wu B, Liu M.
europepmc +1 more source

