AIMC Topic: 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...
Malus Pyrus Fruit Hyperspectral Imaging Calibration Neural Networks, Computer Algorithms Convolutional Neural Networks Principal Component Analysis Least-Squares Analysis Discriminant Analysis
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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...
Machine Learning Principal Component Analysis Discriminant Analysis Soil Pollutants Spectrum Analysis Algorithms Soil Environmental Monitoring Lasers Hydrocarbons
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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 ...
Horses Doping in Sports Discriminant Analysis Chromatography, High Pressure Liquid Tandem Mass Spectrometry Neural Networks, Computer Animals Deep Learning Convolutional Neural Networks
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Rapid classification of Camellia seed varieties and non-destructive high-throughput quantitative analysis of fatty acids based on non-targeted fingerprint spectroscopy combined with chemometrics.

Food chemistry Feb 1, 2025
Camellia oil is a high-quality vegetable oil rich in unsaturated fatty acids (FAs), with quality standardization challenged by the diversity of Camellia seed varieties. This study compared spectroscopy techniques (Near-Infrared [NIR] vs Mid-Infrared ...
Neural Networks, Computer Discriminant Analysis Fatty Acids Camellia Chemometrics Spectroscopy, Near-Infrared Seeds Plant Oils
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A holistic strategy for the in-depth discrimination and authentication of 16 citrus herbs and associated commercial products based on machine learning techniques and non-targeted metabolomics.

Journal of chromatography. A Feb 1, 2025
Citrus-derived raw medicinal materials are frequently used for health care, flavoring, and therapeutic purposes. However, Due to similarities in origin or appearance, citrus herbs are often misused in the market, necessitating effective differentiati...
Discriminant Analysis Citrus Metabolomics Machine Learning Drugs, Chinese Herbal Least-Squares Analysis
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Sexual dimorphism of the humerus bones in a French sample: comparison of several statistical models including machine learning models.

International journal of legal medicine Jan 25, 2025
Sex estimation is an important part of skeletal analysis and forensic identification. Traditionally pelvic traits are utilized for accurate sex estimation. However, the long bones, especially humerus, have been proved to be as effective for determine...
Middle Aged Humans Logistic Models Sex Determination by Skeleton Neural Networks, Computer Support Vector Machine Young Adult Humerus Machine Learning Adult Female Forensic Anthropology Male Models, Statistical Discriminant Analysis France
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Automated mold defects classification in paintings: A comparison of machine learning and rule-based techniques.

PloS one Jan 24, 2025
Mold defects pose a significant risk to the preservation of valuable fine art paintings, typically arising from fungal growth in humid environments. This paper presents a novel approach for detecting and categorizing mold defects in fine art painting...
Discriminant Analysis Fungi Paintings Humans Machine Learning Algorithms
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Advancing DNA Structural Analysis: A SERS Approach Free from Citrate Interference Combined with Machine Learning.

The journal of physical chemistry letters Jan 23, 2025
Surface-enhanced Raman spectroscopy (SERS) has become an indispensable tool for biomolecular analysis, yet the detection of DNA signals remains hindered by spectral interference from citrate ions, which overlap with key DNA features. This study intro...
Machine Learning Spectrum Analysis, Raman Support Vector Machine DNA Metal Nanoparticles Discriminant Analysis Silver Citric Acid Nucleic Acid Conformation
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Prediction of coffee traits by artificial neural networks and laser-assisted rapid evaporative ionization mass spectrometry.

Food research international (Ottawa, Ont.) Jan 23, 2025
BACKGROUND: Coffee is an important commodity in the worldwide economy and smart technologies are important for accurate quality control and consumer-oriented product development. Sensory perception is probably the most important information since it ...
Lasers Discriminant Analysis Humans Coffee Fatty Acids Neural Networks, Computer Taste Mass Spectrometry
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Hyoid bone-based sex discrimination among Egyptians using a multidetector computed tomography: discriminant function analysis, meta-analysis, and artificial intelligence-assisted study.

Scientific reports Jan 21, 2025
The hyoid bone has been identified as sexually dimorphic in various populations. The current study is a forerunner analysis that used three-dimensional multidetector computed tomography (3D MDCT) images of the hyoid bone to examine sexual dimorphism ...
Sex Determination by Skeleton Hyoid Bone Female North African People Young Adult Humans Imaging, Three-Dimensional Adult Egypt Artificial Intelligence Discriminant Analysis Male Sex Characteristics Machine Learning Middle Aged Multidetector Computed Tomography
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