AIMC Topic: Wavelet Analysis

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Time-Frequency Analysis of Scalp EEG With Hilbert-Huang Transform and Deep Learning.

IEEE journal of biomedical and health informatics Apr 14, 2022
Electroencephalography (EEG) is a brain imaging approach that has been widely used in neuroscience and clinical settings. The conventional EEG analyses usually require pre-defined frequency bands when characterizing neural oscillations and extracting...
Humans Algorithms Wavelet Analysis Brain Waves Scalp Deep Learning Electroencephalography
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Sensor Fault Diagnostics Using Physics-Informed Transfer Learning Framework.

Sensors (Basel, Switzerland) Apr 11, 2022
The field of smart health monitoring, intelligent fault detection and diagnosis is expanding dramatically in order to maintain successful operation in many engineering applications. Considering possible fault scenarios that can occur in a system, ind...
Wavelet Analysis Physics Machine Learning Algorithms Neural Networks, Computer
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Application of a Hybrid Model of Big Data and BP Network on Fault Diagnosis Strategy for Microgrid.

Computational intelligence and neuroscience Mar 25, 2022
Aiming at the characteristics of timely transmission, rapid update, and large magnitude of microgrid data, based on the large data samples generated by microgrid operation, a fault diagnosis and analysis method of microgrid systems supported by big d...
Wavelet Analysis Neural Networks, Computer Algorithms Computer Simulation Big Data
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Classification of breast cancer with deep learning from noisy images using wavelet transform.

Biomedizinische Technik. Biomedical engineering Mar 16, 2022
In this study, breast cancer classification as benign or malignant was made using images obtained by histopathological procedures, one of the medical imaging techniques. First of all, different noise types and several intensities were added to the im...
Deep Learning Signal-To-Noise Ratio Female Breast Neoplasms Wavelet Analysis Humans Neural Networks, Computer
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A Time Series Forecasting Approach Based on Nonlinear Spiking Neural Systems.

International journal of neural systems Mar 8, 2022
Nonlinear spiking neural P (NSNP) systems are a recently developed theoretical model, which is abstracted by nonlinear spiking mechanism of biological neurons. NSNP systems have a nonlinear structure and the potential to describe nonlinear dynamic sy...
Nonlinear Dynamics Forecasting Neural Networks, Computer Wavelet Analysis Time Factors
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The Identification of ECG Signals Using WT-UKF and IPSO-SVM.

Sensors (Basel, Switzerland) Mar 2, 2022
The biometric identification method is a current research hotspot in the pattern recognition field. Due to the advantages of electrocardiogram (ECG) signals, which are difficult to replicate and easy to obtain, ECG-based identity identification has b...
Electrocardiography Support Vector Machine Signal Processing, Computer-Assisted Algorithms Wavelet Analysis
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Multi-step wind speed forecasting based on a hybrid decomposition technique and an improved back-propagation neural network.

Environmental science and pollution research international Feb 26, 2022
Accurate wind speed forecasting (WSF) not only ensures stable power system operation but also contributes to enhancing the competitiveness of wind power companies in the market. In this paper, a hybrid prediction model based on secondary decompositio...
Wavelet Analysis Neural Networks, Computer Forecasting Wind Algorithms
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Resting-state electroencephalography based deep-learning for the detection of Parkinson's disease.

PloS one Feb 24, 2022
Parkinson's disease (PD) is one of the most serious and challenging neurodegenerative disorders to diagnose. Clinical diagnosis on observing motor symptoms is the gold standard, yet by this point nerve cells are degenerated resulting in a lower effic...
Female Aged Neural Networks, Computer Membrane Potentials Electroencephalography Machine Learning Male Mental Health Wavelet Analysis Middle Aged Humans Deep Learning Parkinson Disease
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A Method for Pipeline Leak Detection Based on Acoustic Imaging and Deep Learning.

Sensors (Basel, Switzerland) Feb 17, 2022
This paper proposes a reliable technique for pipeline leak detection using acoustic emission signals. The acoustic emission signal of a pipeline contains leak-related information. However, the noise in the signal often obscures the leak-related infor...
Acoustics Wavelet Analysis Algorithms Deep Learning Neural Networks, Computer
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Epileptic Seizure Detection with Hybrid Time-Frequency EEG Input: A Deep Learning Approach.

Computational and mathematical methods in medicine Feb 15, 2022
The precise detection of epileptic seizure helps to prevent the serious consequences of seizures. As the electroencephalogram (EEG) reflects the brain activity of patients effectively, it has been widely used in epileptic seizure detection in the pas...
Fourier Analysis Deep Learning Electroencephalography Seizures Humans Epilepsy Signal Processing, Computer-Assisted Computational Biology Databases, Factual Neural Networks, Computer Wavelet Analysis Diagnosis, Computer-Assisted Algorithms
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