Perhaps one of the most common and comprehensive statistical and machine learning
algorithms are linear regression. Linear regression is used to find a linear relationship …

Due to sharp increases in data dimensions, working on every data mining or machine
learning (ML) task requires more efficient techniques to get the desired results. Therefore, in …

Segmentation of the breast region and pectoral muscle are fundamental subsequent steps
in the process of Computer-Aided Diagnosis (CAD) systems. Segmenting the breast region …

The increase in the data available attracted the concern of clustering approaches to
integrate them coherently and to identify patterns for big data. Hence, Meta-Heuristic …

This paper reviews the newly published works on applying waves to image processing
depending on the analysis of multiple solutions. the wavelet transformation reviewed in …

The world is passing through the stage of the superiority of science and technology. The
impact of this superiority in human life cannot be hidden. There is no doubt that the societies …

Artificial Neural Networks (ANNs) are modern computing methods that have been used
extensively in solving many complicated problems in the physical world. The attractiveness …

The most prevalent cancer amongst women is woman breast cancer. Ultrasound imaging is
a widely employed method for identifying and diagnosing breast abnormalities. Computer …

Photoacoustic (PA) technology has been used extensively on vessel imaging due to its
capability of identifying molecular specificities and achieving high optical-diffraction-limited …

The key point of this paper is to assess and look over the top of the line network layer-based
VPN (Virtual Private Network) protocols because data link layer is hardly ever found to be in …