Results 71 to 80 of about 1,715,429 (285)

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

open access: yesArthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos   +2 more
wiley   +1 more source

Unsupervised Relation Extraction for E-Learning Applications [PDF]

open access: yes, 2011
A thesis submitted in partial fulfilment of the requirements of the University of Wolverhampton for the degree of Doctor of PhilosophyIn this modern era many educational institutes and business organisations are adopting the e-Learning approach as it ...
Afzal, Naveed
core   +2 more sources

Improvements to the gastric cancer tumor-node-metastasis staging system based on computer-aided unsupervised clustering

open access: yesBMC Cancer, 2018
Background The Union for International Cancer Control (UICC) tumor-node-metastasis (TNM) classification is a key gastric cancer prognosis system. This study aimed to create a new TNM system to provide a reference for the clinical diagnosis and treatment ...
Zhiqiong Wang   +11 more
doaj   +1 more source

Supervised versus unsupervised approaches to classification of accelerometry data

open access: yesEcology and Evolution, 2023
Sophisticated animal‐borne sensor systems are increasingly providing novel insight into how animals behave and move. Despite their widespread use in ecology, the diversity and expanding quality and quantity of data they produce have created a need for ...
Maitreyi Sur   +5 more
doaj   +1 more source

Multimodal Data‐Driven Microstructure Characterization

open access: yesAdvanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang   +4 more
wiley   +1 more source

Unsupervised Classification for Polarimetric Synthetic Aperture Radar Images Based on Wishart Mixture Models

open access: yesLeida xuebao, 2017
Unsupervised classification is a significant step inthe automated interpretation of Polarimetric Synthetic Aperture Radar (PolSAR) images. However, determining the number of clusters in this process is still a challenging problem. To this end, we propose
Zhong Neng   +3 more
doaj   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

open access: yesAdvanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle   +5 more
wiley   +1 more source

An experiment in audio classification from compressed data [PDF]

open access: yes, 2004
In this paper we present an algorithm for automatic classification of sound into speech, instrumental sound/ music and silence. The method is based on thresholding of features derived from the modulation envelope of the frequency limited audio signal ...
Murphy, Noel   +3 more
core   +2 more sources

Classification Method for Surface Defects of Strip Steel Based on Dynamic Joint Weighting [PDF]

open access: yesJisuanji gongcheng
The surface quality of strip steel is an important indicator of the quality of steel products. Research on the classification of surface defects throughout the production process can reduce the occurrence of surface defects and improve the accuracy of ...
WANG Ya, GAN Qingsong, SHEN Qi, SONG Yuqing, LIU Yi, HAN Kai, LIU Zhe
doaj   +1 more source

Unsupervised feature dimension reduction for classification of MR spectra

open access: yes, 2004
We present an unsupervised feature dimension reduction method for the classification of magnetic resonance spectra. The technique preserves spectral information, important for disease profiling.
Sorrell, T. C.   +10 more
core   +1 more source

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