This graphical abstract compares circuit‐based, signal‐processing‐based, and intelligent‐learning‐based approaches for secondary arc‐fault detection, highlighting their key principles and practical advantages. ABSTRACT Reliable detection of free‐air electric arc faults in high‐voltage overhead transmission lines, together with accurate discrimination ...
Mahyar Abasi +2 more
wiley +1 more source
Design method of nonsubsampled graph filter banks
In order to overcome the problem that it is difficult to accurately define the downsampling operation for a generalized graph signal in graph filter banks, this paper focuses on the design algorithm of nonsubsampled graph filter banks.
Yang Sheng
doaj +1 more source
BiOrthoNet: Efficient Retinal OCT Classification Using Direction‐Specific Convolutions
ABSTRACT Reliable interpretation of optical coherence tomography (OCT) scans is crucial for the early detection of retinal diseases. Deep learning has emerged as a promising approach for this task; however, many existing models are computationally intensive and fail to exploit the horizontal‐vertical structural organization commonly observed in retinal
Ezzaldeen H. A. Abukhattab +1 more
wiley +1 more source
Adaptive Wavelet Thresholding for Multiresolution Denoising Based on Image Size
Hard thresholding is a common method for denoising wavelet coefficients. However, determining an optimal threshold remains challenging. Therefore, we propose an adaptive hard threshold that accounts for the size of the noisy image based on the ...
Chih-Yu Tsai, Jian-Jiun Ding
doaj +1 more source
A Novel Multiband Spectrum Sensing Method Based on Wavelets and the Higuchi Fractal Dimension
In this work, two novel methodologies for the multiband spectrum sensing in cognitive radios are implemented. Methods are based on the continuous wavelet transform (CWT) and the multiresolution analysis (MRA) to detect the edges of available holes in the
Yanqueleth Molina-Tenorio +2 more
doaj +1 more source
Multi-Scale Pixel-Based Image Fusion Using Multivariate Empirical Mode Decomposition
A novel scheme to perform the fusion of multiple images using the multivariate empirical mode decomposition (MEMD) algorithm is proposed. Standard multi-scale fusion techniques make a priori assumptions regarding input data, whereas standard univariate ...
Naveed ur Rehman +5 more
doaj +1 more source
Multiresolution analysis for COVID-19 diagnosis from chest CT images: wavelet vs. contourlet transforms. [PDF]
Abdel-Hamid L.
europepmc +1 more source
On the global integration of REITs market returns: A multiresolution analysis
This paper explores dynamic correlation and interdependence of five global REIT markets using multivariate wavelet methods. United States, Hong Kong, Belgium, South Africa and Australia’s daily REITs returns are used as proxies for North America, Asia ...
Kola Ijasan +3 more
doaj +1 more source
Contactless Palmprint Recognition Using Binarized Statistical Image Features-Based Multiresolution Analysis. [PDF]
Amrouni N +6 more
europepmc +1 more source
MRChem Multiresolution Analysis Code for Molecular Electronic Structure Calculations: Performance and Scaling Properties. [PDF]
Wind P +6 more
europepmc +1 more source

