AIMC Topic: Discriminant Analysis

Clear Filters Showing 51 to 60 of 319 articles

Machine learning-enhanced electrical impedance myography to diagnose and track spinal muscular atrophy progression.

Physiological measurement Sep 6, 2024
To evaluate electrical impedance myography (EIM) in conjunction with machine learning (ML) to detect infantile spinal muscular atrophy (SMA) and disease progression.. Twenty-six infants with SMA and twenty-seven healthy infants had been enrolled and ...
Humans Machine Learning Female Discriminant Analysis Electric Impedance Muscular Atrophy, Spinal Myography Male Infant Disease Progression
View on PubMed DOI

Fusion features of microfluorescence hyperspectral imaging for qualitative detection of pesticide residues in Hami melon.

Food research international (Ottawa, Ont.) Sep 4, 2024
Pesticide residues are identified as a significant food safety issue in Hami melons, and their rapid and accurate detection is deemed critical for ensuring public health. In response to the cumbersome procedures with existing chemical detection metho...
Machine Learning Algorithms Food Contamination Least-Squares Analysis Hyperspectral Imaging Pesticide Residues Dioxolanes Cucurbitaceae Discriminant Analysis Pyrethrins Triazoles
View on PubMed DOI

A nondestructive technique for the sex identification of third instar Cochliomyia macellaria larvae.

Journal of forensic sciences Sep 2, 2024
Forensic entomology plays an important role in medicolegal investigations by using insects, primarily flies, to estimate the time of colonization. This estimation relies on the development of the flies found at the (death) scene and can be affected (...
Calliphoridae Humans Discriminant Analysis Machine Learning Larva Animals Female Spectrophotometry, Infrared Least-Squares Analysis Male Forensic Entomology
View on PubMed DOI

Salivary Molecular Spectroscopy with Machine Learning Algorithms for a Diagnostic Triage for Amelogenesis Imperfecta.

International journal of molecular sciences Aug 30, 2024
Amelogenesis imperfecta (AI) is a genetic disease characterized by poor formation of tooth enamel. AI occurs due to mutations, especially in AMEL, ENAM, KLK4, MMP20, and FAM83H, associated with changes in matrix proteins, matrix proteases, cell-matri...
Humans Biomarkers Female Machine Learning Algorithms Spectroscopy, Fourier Transform Infrared Triage Young Adult Adolescent Discriminant Analysis Saliva Case-Control Studies Adult Support Vector Machine Amelogenesis Imperfecta Male Pilot Projects
View on PubMed DOI

Improving Hand Gesture Recognition Robustness to Dynamic Posture Variations by Multimodal Deep Feature Fusion.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 28, 2024
Surface electromyography (sEMG), a human-machine interface for gesture recognition, has shown promising potential for decoding motor intentions, but a variety of nonideal factors restrict its practical application in assistive robots. In this paper, ...
Healthy Volunteers Pattern Recognition, Automated Female Male Humans Posture Hand Neural Networks, Computer Deep Learning Young Adult Discriminant Analysis Gestures Electromyography Adult Algorithms
View on PubMed DOI

The development of machine learning approaches in two-dimensional NMR data interpretation for metabolomics applications.

Analytical biochemistry Aug 24, 2024
Metabolomics has been widely applied in human diseases and environmental science to study the systematic changes of metabolites over diverse types of stimuli. NMR-based metabolomics has been widely used, but the peak overlap problems in the one-dimen...
Magnetic Resonance Spectroscopy Metabolomics Neural Networks, Computer Animals Least-Squares Analysis Feces Discriminant Analysis Mice Machine Learning
View on PubMed DOI

Sugarcane disease recognition through visible and near-infrared spectroscopy using deep learning assisted continuous wavelet transform-based spectrogram.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Aug 22, 2024
Utilizing visible and near-infrared (Vis-NIR) spectroscopy in conjunction with chemometrics methods has been widespread for identifying plant diseases. However, a key obstacle involves the extraction of relevant spectral characteristics. This study a...
Plant Diseases Wavelet Analysis Spectroscopy, Near-Infrared Deep Learning Discriminant Analysis Saccharum Plant Leaves Least-Squares Analysis
View on PubMed DOI

Euclidean-Distance-Preserved Feature Reduction for efficient person re-identification.

Neural networks : the official journal of the International Neural Network Society Aug 8, 2024
Person Re-identification (Re-ID) aims to match person images across non-overlapping cameras. The existing approaches formulate this task as fine-grained representation learning with deep neural networks, which involves extracting image features using...
Neural Networks, Computer Algorithms Deep Learning Image Processing, Computer-Assisted Humans Principal Component Analysis Discriminant Analysis Biometric Identification
View on PubMed DOI

Label-Free Surface-Enhanced Raman Spectroscopy with Machine Learning for the Diagnosis of Thyroid Cancer by Using Fine-Needle Aspiration Liquid Samples.

Biosensors Jul 31, 2024
The incidence of thyroid cancer is increasing worldwide. Fine-needle aspiration (FNA) cytology is widely applied with the use of extracted biological cell samples, but current FNA cytology is labor-intensive, time-consuming, and can lead to the risk ...
Neural Networks, Computer Biopsy, Fine-Needle Machine Learning Algorithms Thyroid Neoplasms Metal Nanoparticles Humans Spectrum Analysis, Raman Discriminant Analysis Silver Support Vector Machine Liquid Biopsy Principal Component Analysis
View on PubMed DOI

Functional data geometric morphometrics with machine learning for craniodental shape classification in shrews.

Scientific reports Jul 6, 2024
This work proposes a functional data analysis approach for morphometrics in classifying three shrew species (S. murinus, C. monticola, and C. malayana) from Peninsular Malaysia. Functional data geometric morphometrics (FDGM) for 2D landmark data is i...
Skull Shrews Support Vector Machine Machine Learning Principal Component Analysis Malaysia Animals Discriminant Analysis
View on PubMed DOI
Popular Topics
Recent Journals