AIMC Topic: Wavelet Analysis

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Computer-aided diagnosis of autism spectrum disorder from EEG signals using deep learning with FAWT and multiscale permutation entropy features.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Dec 14, 2022
Autism spectrum disorder (ASD), a neurodevelopment disorder, is characterized by significant difficulties in social interaction and emerges as a major threat to children. Its computer-aided diagnosis used by neurologists improves the detection proces...
Deep Learning Child Autism Spectrum Disorder Wavelet Analysis Entropy Support Vector Machine Electroencephalography Humans Algorithms Computers
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An Efficient AP-ANN-Based Multimethod Fusion Model to Detect Stress through EEG Signal Analysis.

Computational intelligence and neuroscience Dec 12, 2022
Stress is a universal emotion that every human experiences daily. Psychologists say stress may lead to heart attack, depression, hypertension, strokes, or even sudden death. Many technical explorations like stress detection through facial expression,...
Support Vector Machine Emotions Electroencephalography Neural Networks, Computer Wavelet Analysis Algorithms Humans
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Hybrid fuzzy inference rules of descent method and wavelet function for volatility forecasting.

PloS one Dec 9, 2022
This research employs the gradient descent learning (FIR.DM) approach as a learning process in a nonlinear spectral model of maximum overlapping discrete wavelet transform (MODWT) to improve volatility prediction of daily stock market prices using Sa...
Forecasting Nonlinear Dynamics Neural Networks, Computer Wavelet 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...
Neural Networks, Computer Discriminant Analysis Wavelet Analysis Algorithms Computers
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Classification Framework of the Bearing Faults of an Induction Motor Using Wavelet Scattering Transform-Based Features.

Sensors (Basel, Switzerland) Nov 19, 2022
In the machine learning and data science pipelines, feature extraction is considered the most crucial component according to researchers, where generating a discriminative feature matrix is the utmost challenging task to achieve high classification a...
Wavelet Analysis Machine Learning Algorithms Neural Networks, Computer
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Wavelet LSTM for Fault Forecasting in Electrical Power Grids.

Sensors (Basel, Switzerland) Oct 30, 2022
An electric power distribution utility is responsible for providing energy to consumers in a continuous and stable way. Failures in the electrical power system reduce the reliability indexes of the grid, directly harming its performance. For this rea...
Reproducibility of Results Wavelet Analysis Neural Networks, Computer Forecasting
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A Novel Image-Based Diagnosis Method Using Improved DCGAN for Rotating Machinery.

Sensors (Basel, Switzerland) Oct 4, 2022
Rotating machinery plays an important role in industrial systems, and faults in the machinery may damage the system health. A novel image-based diagnosis method using improved deep convolutional generative adversarial networks (DCGAN) is proposed for...
Neural Networks, Computer Learning Wavelet Analysis Recognition, Psychology Intelligence
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Seizure Types Classification by Generating Input Images With in-Depth Features From Decomposed EEG Signals for Deep Learning Pipeline.

IEEE journal of biomedical and health informatics Oct 4, 2022
Electroencephalogram (EEG) based seizure types classification has not been addressed well, compared to seizure detection, which is very important for the diagnosis and prognosis of epileptic patients. The minuscule changes reflected in EEG signals am...
Wavelet Analysis Seizures Humans Deep Learning Electroencephalography Epilepsy
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Deep Learning for Chondrogenic Tumor Classification through Wavelet Transform of Raman Spectra.

Sensors (Basel, Switzerland) Oct 3, 2022
The grading of cancer tissues is still one of the main challenges for pathologists. The development of enhanced analysis strategies hence becomes crucial to accurately identify and further deal with each individual case. Raman spectroscopy (RS) is a ...
Vitamins Wavelet Analysis Lipids Humans Neoplasms Deep Learning Spectrum Analysis, Raman
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Power Equipment Fault Diagnosis Method Based on Energy Spectrogram and Deep Learning.

Sensors (Basel, Switzerland) Sep 27, 2022
With the development of industrial manufacturing intelligence, the role of rotating machinery in industrial production and life is more and more important. Aiming at the problems of the complex and changeable working environment of rolling bearings a...
Physical Phenomena Deep Learning Wavelet Analysis Neural Networks, Computer
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