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The classification of SSVEP-BCI based on ear-EEG via RandOm Convolutional KErnel Transform with Morlet wavelet
During the advantages of shorter training and higher information throughput, steady-state visual evoked potential (SSVEP) is widely used in...
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Novel Discrete Component Wavelet Transform for detection of cerebrovascular diseases
Detection and diagnosis of a disease with a single image can be tedious and difficult for doctors but with the adaptation of medical image fusion, a...
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Wavelet Transform for Signature Recognition
Fields of biometrics and surveillance have been a develo** area of research. Biometrics involve face or iris recognition, finger print matching,...
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Performance analysis of a nonlinear energy harvester with subharmonic responses based on discrete Meyer wavelet filtering scheme
In this study, we investigate the nonlinear dynamics of a kinetic energy harvester featuring a single degree-of-freedom magneto-piezoelectric...
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Using Hybrid Wavelet Approach and Neural Network Algorithm to Forecast Distribution Feeders
In this paper, using an algorithm based on the combination of data based on neural network virology and bacterial nutrition algorithm, improves the...
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An adaptive steganography insertion technique based on wavelet transform
Over the past few decades, there have been several successful methods developed for steganography. One popular technique is the insertion method,...
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Forecasting US stock price using hybrid of wavelet transforms and adaptive neuro fuzzy inference system
Artificial Neural Network (ANN) techniques are often used for time-series data forecasting, and Fuzzy Logic (FL) is integrated with the ANN to...
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Wavelet Transform on Generalized Quotient Spaces and Its Applications
The concept of Schwartz distributions presents a unique area of mathematical research, which contributed to the development of several mathematical...
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Power Quality Detection Method Based on Lifting Wavelet and Fast Fourier Transform
In order to obtain power quality disturbance information accurately and efficiently, a power quality disturbance detection method based on lifting...
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Titanium Alloy Weld Time-of-Flight Diffraction Image Denoising Based on a Wavelet Feature Fusion Deep-Learning Model
Images of titanium alloy welds detected by time-of-flight diffraction (TOFD) have problems, including large noise signals and many interference...
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Designing Hybrid Image Fusion Algorithm Using CNN and Stationary Wavelet Transform
The aim of this paper is to put forward a new method of image fusion and its implementation and analyzing the results obtained. The paper also...
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Stationary, continuous, and discrete wavelet-based approach for secure medical image transmission
PurposeWatermarking is one of the techniques used to protect multimedia data, and images in particular, from malicious attacks by inserting a...
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Digital Watermarking System Performance Using QIM Techniques and Wavelet Transforms
The use of internet increase day by day. Because of this, user can easily transfer digital documents from one place to another. During this process,...
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Bearing Fault Diagnosis Based on Hilbert Envelope and Continuous Wavelet Transform
Rolling element bearings (REBs) are the commonly used components of rotating machines such as rotors, turbines, motors, and pum** systems. Faults...
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Diagnostics of Transient Heat-Transfer Regimes during Pool Boiling Based on Wavelet Transform of Temperature Fluctuations
AbstractThe aim of this work is to develop a method for diagnosing heat-transfer transition modes from convection to nucleate boiling and from...
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Tool wear classification based on maximal overlap discrete wavelet transform and hybrid deep learning model
A precise tool wear monitoring model is essential for manufacturing to ensure reliability and efficiency. This study aims to analyze and monitor the...
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Modification of Evolutionary Algorithm Using Wavelet Transformation
Genetic algorithm (GA) is a traditional, smart biological algorithm that has high global optimization capacity and is developed in accordance with...
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A novel chatter detection method in micro-milling process using wavelet packet entropy
Chatter has always been a detrimental problem restricting the improvement of surface quality and processing efficiency in machining processes....
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Modeling Automated Image Watermarking Using Meta-heuristic-based Deep Learning with Wavelet Approach
Accessing digital media has become quite a simple result of the fast rise of multimedia in the case of network technology. As a result, safeguarding...
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Application of AI failure identification techniques in condition monitoring using wavelet analysis
In the context of Industry 4.0, condition-based maintenance (CBM) for complex systems is essential in order to identify failures and mitigate them....
