AIMC Topic: Discriminant Analysis

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Facial Expression Recognition Based on LDA Feature Space Optimization.

Computational intelligence and neuroscience Aug 29, 2022
With the development of artificial intelligence, facial expression recognition has become an important part of the current research due to its wide application potential. However, the qualities of the face features will directly affect the accuracy o...
Discriminant Analysis Algorithms Pattern Recognition, Automated Facial Recognition Bayes Theorem Artificial Intelligence
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Non-destructive detection and classification of textile fibres based on hyperspectral imaging and 1D-CNN.

Analytica chimica acta Aug 8, 2022
Textile fibre is very common in daily life, and its classification and identification play an important role in textile recycling, archaeology, public security, and other industries. However, traditional identification methods are time-consuming, lab...
Neural Networks, Computer Hyperspectral Imaging Textiles Support Vector Machine Discriminant Analysis
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Intermittent fasting-induced biomolecular modifications in rat tissues detected by ATR-FTIR spectroscopy and machine learning algorithms.

Analytical biochemistry Jul 30, 2022
This study aimed to reveal the intermittent fasting-induced alterations in biomolecules of the liver, ileum, and colon tissues of rats using Support Vector Machine (SVM) and Linear Discriminant Analysis (LDA) algorithms developed on infrared spectroc...
Spectroscopy, Fourier Transform Infrared Proteins Discriminant Analysis Fasting Rats Animals Machine Learning Algorithms
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Four-Class Classification of Neuropsychiatric Disorders by Use of Functional Near-Infrared Spectroscopy Derived Biomarkers.

Sensors (Basel, Switzerland) Jul 20, 2022
Diagnosis of most neuropsychiatric disorders relies on subjective measures, which makes the reliability of final clinical decisions questionable. The aim of this study was to propose a machine learning-based classification approach for objective diag...
Spectroscopy, Near-Infrared Adolescent Biomarkers Reproducibility of Results Discriminant Analysis Support Vector Machine Bayes Theorem Humans
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Locality Adaptive Discriminant Analysis Framework.

IEEE transactions on cybernetics Jul 19, 2022
Linear discriminant analysis (LDA) is a well-known technique for supervised dimensionality reduction and has been extensively applied in many real-world applications. LDA assumes that the samples are Gaussian distributed, and the local data distribut...
Pattern Recognition, Automated Algorithms Discriminant Analysis Artificial Intelligence
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scDLC: a deep learning framework to classify large sample single-cell RNA-seq data.

BMC genomics Jul 12, 2022
BACKGROUND: Using single-cell RNA sequencing (scRNA-seq) data to diagnose disease is an effective technique in medical research. Several statistical methods have been developed for the classification of RNA sequencing (RNA-seq) data, including, for e...
Gene Expression Profiling Sequence Analysis, RNA Discriminant Analysis Single-Cell Analysis RNA Deep Learning RNA-Seq
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Appropriate Supervised Machine Learning Techniques for Mesothelioma Detection and Cure.

BioMed research international Jul 7, 2022
Mesothelioma is a dangerous, violent cancer, which forms a protecting layer around inner tissues such as the lungs, stomach, and heart. We investigate numerous AI methodologies and consider the exact DM conclusion outcomes in this study, which focuse...
Support Vector Machine Humans Bayes Theorem Algorithms Discriminant Analysis Mesothelioma
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Fourier transform infrared spectrum pre-processing technique selection for detecting PYLCV-infected chilli plants.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy May 4, 2022
Pre-processing is a crucial step in analyzing spectra from Fourier transform infrared (FTIR) spectroscopy because it can reduce unwanted noise and enhance system performance. Here, we present the results of pre-processing technique optimization to fa...
Discriminant Analysis Fourier Analysis Spectroscopy, Fourier Transform Infrared Principal Component Analysis Neural Networks, Computer
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An efficient model selection for linear discriminant function-based recursive feature elimination.

Journal of biomedical informatics Apr 15, 2022
Model selection is an important issue in support vector machine-based recursive feature elimination (SVM-RFE). However, performing model selection on a linear SVM-RFE is difficult because the generalization error of SVM-RFE is hard to estimate. This ...
Algorithms Computational Biology Support Vector Machine Discriminant Analysis
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Design of Electronic Nose Detection System for Apple Quality Grading Based on Computational Fluid Dynamics Simulation and K-Nearest Neighbor Support Vector Machine.

Sensors (Basel, Switzerland) Apr 14, 2022
Apples are one of the most widely planted fruits in the world, with an extremely high annual production. Several issues should be addressed to avoid the damaging of samples during the quality grading process of apples (e.g., the long detection period...
Electronic Nose Malus Hydrodynamics Discriminant Analysis Algorithms Support Vector Machine
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