Roughness decomposition and nonlinear fluid flow in a single rock fracture
The objective of this paper is to investigate the effects of wall surface roughness on fluid flow
through rock fractures. A wavelet analysis technique was developed to define a …
through rock fractures. A wavelet analysis technique was developed to define a …
[HTML][HTML] Medical image denoising using dual tree complex thresholding wavelet transform and Wiener filter
Image denoising is the process to remove the noise from the image naturally corrupted by
the noise. The wavelet method is one among various methods for recovering infinite …
the noise. The wavelet method is one among various methods for recovering infinite …
Evaluation and optimization of the water diversion system of ecohydrological restoration megaproject of Tarim River, China, through wavelet analysis and a neural …
Water transfers have been implemented globally as important and effective ecological
restoration tools over the last several decades. However, the periodic impacts of large-scale …
restoration tools over the last several decades. However, the periodic impacts of large-scale …
A high-resolution contact analysis of rough-walled crystalline rock fractures subject to normal stress
Abstract Analysis of rock fracture deformation by normal stress is important for quantifying
hydromechanical properties of fractured rocks that are related to a large number of …
hydromechanical properties of fractured rocks that are related to a large number of …
A comprehensive guide to selecting suitable wavelet decomposition level and functions in discrete wavelet transform for fault detection in distribution networks
The paper presents a comprehensive analysis of the IEEE-16 bus system under different
operating conditions. It discusses the selection of suitable decomposition level and wavelet …
operating conditions. It discusses the selection of suitable decomposition level and wavelet …
[HTML][HTML] Identification of VoIP encrypted traffic using a machine learning approach
We investigate the performance of three different machine learning algorithms, namely C5.
0, AdaBoost and Genetic programming (GP), to generate robust classifiers for identifying …
0, AdaBoost and Genetic programming (GP), to generate robust classifiers for identifying …
Image analyses of artificially damaged carbon/glass/epoxy composites before and after impact load
In recent years, there has been a widespread utilization of composite materials, particularly
in critical sectors such as aircraft manufacturing, where errors can have significant …
in critical sectors such as aircraft manufacturing, where errors can have significant …
A wavelet method for biometric identification using wearable ECG sensors
This paper reports a new signal processing method for biometric identification purposes that
utilizes signals collected from a cost-effective wearable electro-cardiogram (ECG) sensor. In …
utilizes signals collected from a cost-effective wearable electro-cardiogram (ECG) sensor. In …
Selection of wavelet basis function for image compression–a review
JK Sunkara - ELCVIA Electronic Letters on Computer Vision and …, 2019 - elcvia.cvc.uab.es
Wavelets are being suggested as a platform for various tasks in image processing. The
advantage of wavelets lie in its time frequency resolution. The use of different basis functions …
advantage of wavelets lie in its time frequency resolution. The use of different basis functions …
Image pattern recognition by edge detection using discrete wavelet transforms
R Divakar, B Singh, A Bajpai… - Journal of Decision …, 2022 - jdaic-journal.org
Edge is the high-frequency part of an image and represents location where abrupt change
takes place in the intensity of luminescence. Edge detection is the basic step of the feature …
takes place in the intensity of luminescence. Edge detection is the basic step of the feature …