Bio-microarray fabrication techniques—a review

I Barbulovic-Nad, M Lucente, Y Sun… - Critical reviews in …, 2006 - Taylor & Francis
Microarrays with biomolecules (eg, DNA and proteins), cells, and tissues immobilized on
solid substrates are important tools for biological research, including genomics, proteomics …

Impact of COVID‐19 on Forecasting Stock Prices: An Integration of Stationary Wavelet Transform and Bidirectional Long Short‐Term Memory

D Štifanić, J Musulin, A Miočević, S Baressi Šegota… - …, 2020 - Wiley Online Library
COVID‐19 is an infectious disease that mostly affects the respiratory system. At the time of
this research being performed, there were more than 1.4 million cases of COVID‐19, and …

Speckle reduction in optical coherence tomography images using digital filtering

A Ozcan, A Bilenca, AE Desjardins, BE Bouma… - JOSA A, 2007 - opg.optica.org
Speckle noise is a ubiquitous artifact that limits the interpretation of optical coherence
tomography images. Here we apply various speckle-reduction digital filters to optical …

Applications of functional gene microarrays for profiling microbial communities

Z He, JD Van Nostrand, J Zhou - Current Opinion in Biotechnology, 2012 - Elsevier
Functional gene arrays (FGAs) have been considered as a specific, sensitive, quantitative,
and high throughput metagenomic tool to detect, monitor and characterize microbial …

Crack detection in simply supported beams without baseline modal parameters by stationary wavelet transform

S Zhong, SO Oyadiji - Mechanical Systems and Signal Processing, 2007 - Elsevier
There are significant changes in the vibration responses of cracked structures when the
crack depth is significant in comparison to the depth of the structure. This fact enables the …

Retracted article: brain image classification by the combination of different wavelet transforms and support vector machine classification

SK Mishra, VH Deepthi - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
The human brain is the primary organ, and it is located in the centre of the nervous system in
the human body. The abnormal cells in the brain are known as a brain tumor. The tumor in …

A novel image enhancement algorithm based on stationary wavelet transform for infrared thermography to the de-bonding defect in solid rocket motors

T Liu, W Zhang, S Yan - Mechanical Systems and Signal Processing, 2015 - Elsevier
In this paper, a multi-scale image enhancement algorithm based on low-passing filtering
and nonlinear transformation is proposed for infrared testing image of the de-bonding defect …

Learning structure in gene expression data using deep architectures, with an application to gene clustering

A Gupta, H Wang… - 2015 IEEE international …, 2015 - ieeexplore.ieee.org
Genes play a central role in all biological processes. DNA microarray technology has made
it possible to study the expression behavior of thousands of genes in one go. Often, gene …

A new perspective for the IEEE standard 1459-2000 via stationary wavelet transform in the presence of nonstationary power quality disturbance

WG Morsi, ME El-Hawary - IEEE Transactions on Power …, 2008 - ieeexplore.ieee.org
Power components, power factors, and pollution factor are defined according to the IEEE
standard 1459-2000 based on the fast Fourier transform (FFT). However, the FFT in the …

Change detection in synthetic aperture radar images using a multiscale-driven approach

OA Ajadi, FJ Meyer, PW Webley - Remote Sensing, 2016 - mdpi.com
Despite the significant progress that was achieved throughout the recent years, to this day,
automatic change detection and classification from synthetic aperture radar (SAR) images …