AIMC Topic: Discriminant Analysis

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Classification of BCI Multiclass Motor Imagery Task Based on Artificial Neural Network.

Clinical EEG and neuroscience Jan 5, 2023
Motor imagery (MI) signals recorded by electroencephalography provide the most practical basis for conceiving brain-computer interfaces (BCI). These interfaces offer a high degree of freedom. This helps people with motor disabilities communicate with...
Brain Discriminant Analysis Neural Networks, Computer Algorithms Brain-Computer Interfaces Imagination Electroencephalography Signal Processing, Computer-Assisted Humans
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Comparing linear discriminant analysis and supervised learning algorithms for binary classification-A method comparison study.

Biometrical journal. Biometrische Zeitschrift Dec 18, 2022
In psychology, linear discriminant analysis (LDA) is the method of choice for two-group classification tasks based on questionnaire data. In this study, we present a comparison of LDA with several supervised learning algorithms. In particular, we exa...
Support Vector Machine Cluster Analysis Discriminant Analysis Algorithms Computer Simulation
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Comparison of discriminant methods and deep learning analysis in plant taxonomy: a case study of Elatine.

Scientific reports Nov 28, 2022
Elatine is a genus in which, flower and seed characteristics are the most important diagnostic features; i.e. seed shape and the structure of its cover found to be the most reliable identification character. We used a combination of classic discrimin...
Malpighiales Discriminant Analysis Flowers Seeds Deep Learning
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Identification of agricultural quarantine materials in passenger's luggage using ion mobility spectroscopy combined with a convolutional neural network.

Analytical methods : advancing methods and applications Nov 24, 2022
As economic globalization intensifies, the recent increase in agricultural products and travelers from abroad has led to an increase in the probability of invasive alien species. A major pathway for invasive alien species is agricultural quarantine m...
Neural Networks, Computer Animals Dogs Quarantine Least-Squares Analysis Discriminant Analysis Spectrum Analysis
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A Novel Computer-Vision Approach Assisted by 2D-Wavelet Transform and Locality Sensitive Discriminant Analysis for Concrete Crack Detection.

Sensors (Basel, Switzerland) Nov 20, 2022
This study proposes FastCrackNet, a computationally efficient crack-detection approach. Instead of a computationally costly convolutional neural network (CNN), this technique uses an effective, fully connected network, which is coupled with a 2D-wave...
Discriminant Analysis Wavelet Analysis Neural Networks, Computer Algorithms Computers
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Prediction of textile pilling resistance using optical coherence tomography.

Scientific reports Oct 31, 2022
This paper describes a new method of textile pilling prediction, based on multivariate analysis of the spatial layer above the surface. The original idea of the method is the acquisition of 3D fabric image using optical coherence tomography (OCT) wit...
Tomography, Optical Coherence Least-Squares Analysis Discriminant Analysis Textiles Support Vector Machine
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NIR spectroscopy combined with 1D-convolutional neural network for breast cancerization analysis and diagnosis.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Oct 22, 2022
Near-infrared (NIR) spectroscopy with deep penetration can characterize the composition of biological tissue based on the vibration of the X-H group in a rapid and high-specificity way. Deep learning is proven helpful for rapid and automatic identifi...
Discriminant Analysis Cluster Analysis Reproducibility of Results Humans Spectroscopy, Near-Infrared Neural Networks, Computer
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Classification of EEG Using Adaptive SVM Classifier with CSP and Online Recursive Independent Component Analysis.

Sensors (Basel, Switzerland) Oct 7, 2022
An efficient feature extraction method for two classes of electroencephalography (EEG) is demonstrated using Common Spatial Patterns (CSP) with optimal spatial filters. However, the effects of artifacts and non-stationary uncertainty are more pronoun...
Signal Processing, Computer-Assisted Artifacts Brain-Computer Interfaces Discriminant Analysis Electroencephalography Algorithms Support Vector Machine
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Identification of liquors from the same brand based on ultraviolet, near-infrared and fluorescence spectroscopy combined with chemometrics.

Food chemistry Sep 5, 2022
Accurate identification of various liquors from the same brand is of great significance for safeguarding the rights and interests of consumers and the market economy. Here, the spectral properties of liquors were studied based on ultraviolet (UV), ne...
Alcoholic Beverages Support Vector Machine Chemometrics Spectrometry, Fluorescence Discriminant Analysis
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Application Based on Artificial Intelligence in Substation Operation and Maintenance Management.

Computational intelligence and neuroscience Sep 1, 2022
To fulfill state grid Industry's demands for smart and digitized business growth, traditional technological approaches have fallen short. Artificial intelligence (AI) technology enables coming up with solutions because electricity business types and ...
Discriminant Analysis Artificial Intelligence Neural Networks, Computer Automation Algorithms
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