AIMC Topic: Discriminant Analysis

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Human-in-the-Loop Myoelectric Pattern Recognition Control of an Arm-Support Robot to Improve Reaching in Stroke Survivors.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 18, 2025
The objective of this study was to assess the feasibility and efficacy of using real-time human-in-the-loop pattern recognition-based myoelectric control to control vertical support force or vertical position to improve reach in individuals with chro...
Pattern Recognition, Automated Female Male Stroke Feasibility Studies Movement Arm Muscle, Skeletal Survivors Robotics Stroke Rehabilitation Discriminant Analysis Electromyography Aged Adult Biomechanical Phenomena Humans Machine Learning Algorithms Middle Aged Wearable Electronic Devices
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Geographical origin differentiation of Philippine Robusta coffee (C. canephora) using X-ray fluorescence-based elemental profiling with chemometrics and machine learning.

Food chemistry Mar 6, 2025
The increasing demand for authenticity and traceability in high-value crops underscores the need for reliable methods to verify the geographical origin of single-origin coffee and prevent fraud. This study explores a rapid and cost-effective approach...
Machine Learning Trace Elements Coffee Geography Spectrometry, X-Ray Emission Chemometrics Principal Component Analysis Discriminant Analysis Coffea Philippines
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Machine learning-based classification of spatially resolved diffuse reflectance and autofluorescence spectra acquired on human skin for actinic keratoses and skin carcinoma diagnostics aid.

Journal of biomedical optics Mar 4, 2025
SIGNIFICANCE: The incidence of keratinocyte carcinomas (KCs) is increasing every year, making the task of developing new methods for KC early diagnosis of utmost medical and economical importance.
Optical Imaging Keratosis, Actinic Spectrometry, Fluorescence Discriminant Analysis Skin Carcinoma, Basal Cell Carcinoma, Squamous Cell Aged Aged, 80 and over Male Middle Aged Diagnosis, Computer-Assisted Support Vector Machine Humans Machine Learning Female Skin Neoplasms
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Fluorescent sensor array for rapid bacterial identification using antimicrobial peptide-functionalized gold nanoclusters and machine learning.

Talanta Mar 3, 2025
Bacterial infectious diseases pose significant challenges to public health, emphasizing the need for rapid and accurate diagnostic tools. Here, we introduced a multichannel fluorescent sensor array based on antimicrobial peptide-functionalized gold n...
Humans Escherichia coli Principal Component Analysis Gold Metal Nanoparticles Machine Learning Fluorescence Biosensing Techniques Bacteria Discriminant Analysis Fluorescent Dyes Antimicrobial Peptides
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Label-Free Exosomal SERS Detection Assisted by Machine Learning for Accurately Discriminating Cell Cycle Stages and Revealing the Molecular Mechanisms during the Mitotic Process.

Analytical chemistry Feb 25, 2025
Cell cycle analysis is crucial for disease diagnosis and treatment, especially for investigating cell heterogeneity and regulating cell behaviors. Exosomes are highly appealing as noninvasive biomarkers for monitoring real-time changes in the cell cy...
Humans HeLa Cells Spectrum Analysis, Raman Machine Learning Cell Cycle Discriminant Analysis Mitosis Exosomes
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Enhancing detection of SSVEPs using discriminant compacted network.

Journal of neural engineering Feb 14, 2025
. Steady-state visual evoked potential-based brain-computer interfaces (SSVEP-BCIs) have gained significant attention due to their simplicity, high signal to noise ratio and high information transfer rates (ITRs). Currently, accurate detection is a c...
Brain-Computer Interfaces Evoked Potentials, Visual Photic Stimulation Deep Learning Discriminant Analysis Electroencephalography Humans Neural Networks, Computer Female Adult Male
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Rapid discrimination of different primary processing Arabica coffee beans using FT-IR and machine learning.

Food research international (Ottawa, Ont.) Feb 10, 2025
In this study, fourier transform infrared spectroscopy (FT-IR) analysis was combined with machine learning, while various analytical techniques such as colorimetry, low-field nuclear magnetic resonance spectroscopy, scanning electron microscope, two-...
Multivariate Analysis Magnetic Resonance Spectroscopy Coffea Food Handling Microscopy, Electron, Scanning Machine Learning Coffee Spectroscopy, Fourier Transform Infrared Seeds Discriminant Analysis
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Exploring the impact of lenticels on the detection of soluble solids content in apples and pears using hyperspectral imaging and one-dimensional convolutional neural networks.

Food research international (Ottawa, Ont.) Feb 7, 2025
In this work, the effect of lenticels on the predictive performance of apple and pear soluble solids content (SSC) models developed based on hyperspectral imaging (HSI) at 380-1010 nm was investigated for the first time. Variations in the spectral pr...
Discriminant Analysis Fruit Hyperspectral Imaging Calibration Malus Pyrus Algorithms Convolutional Neural Networks Principal Component Analysis Least-Squares Analysis Neural Networks, Computer
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Development of a method for detecting and classifying hydrocarbon-contaminated soils via laser-induced breakdown spectroscopy and machine learning algorithms.

Environmental science and pollution research international Feb 5, 2025
In recent years, there has been a significant increase in oil exploration and exploitation activities, resulting in spills that pose a severe threat to the environment and public health. The present work aims to develop a method to detect and classif...
Hydrocarbons Algorithms Soil Environmental Monitoring Principal Component Analysis Machine Learning Discriminant Analysis Soil Pollutants Spectrum Analysis Lasers
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Convolutional Neural Networks Assisted Peak Classification in Targeted LC-HRMS/MS for Equine Doping Control Screening Analyses.

Analytical chemistry Feb 3, 2025
Doping control screening analyses usually involve visual inspection of extracted ion chromatograms (EIC) by a trained analytical chemist, followed by further investigations if needed. This task is both highly repetitive and time-consuming, given the ...
Tandem Mass Spectrometry Horses Deep Learning Doping in Sports Convolutional Neural Networks Discriminant Analysis Chromatography, High Pressure Liquid Neural Networks, Computer Animals
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