An image quality matrix provides a significant principle for objectively observing an image
based on an alteration between the original and distorted images. During the past two …

With the continuous development of science and technology, the information age has
arrived, and people have fully entered the information age. In this new era, Internet …

Skin cancer is one of the most dangerous health problems in many countries the
development in automatic medical image analysis technique leads to accurate classification …

Due to the low compression performance of traditional compression models, we have
developed a new HOA based Fractional KCA with 2D-DWT for improving the multispectral …

We propose a novel privacy-preserving security solution for cloud services. Our solution is
based on an efficient non-bilinear group signature scheme providing the anonymous access …

In recent years, recurrent neural network models have defined the normative process in
producing efficient and reliable results in various challenging problems such as translation …

Due to the increased volume of data generated in the form of images, the role of various
image processing and monitoring methods has become vital in improving quality. Monitoring …

Traditional greedy algorithms need to know the sparsity of the signal in advance, while the
sparsity adaptive matching pursuit algorithm avoids this problem at the expense of …

With rapid development of real-time and dynamic applications, Compressed Sensing (CS)
has been used for signal and image compression in the last decades. Storing the medical …

Real estate business is one of the leading business types; it is referring to buying and
selling. Real estate business is making crucial for an effective house prediction model. This …