The emergence of powerful deep learning architectures has resulted in breakthrough
innovations in several fields such as healthcare, precision farming, banking, education, and …

We present the first quantum version of the one-dimensional integer wavelet S-Transform
(QIST). This version is based on a new Quantum Block Representation by Basis States …

The healthcare industry is a part of contemporary civilization that deals with a significant
volume of confidential information. The integration of an increased number of digital systems …

With the fast growth of information technology (IT), the safety of image transmission and the
storing of images are becoming increasingly important. Traditional image encryption …

Compressing medical images to reduce their size while maintaining their clinical and
diagnostic information is crucial. Because medical images can be large and demand a lot of …

Recently, learned image compression algorithms have shown incredible performance
compared to classic hand-crafted image codecs. Despite its considerable achievements, the …

For many decades however recently super increased; the importance of securing the private
information of individuals or organizations. Therefore, numerous researchers are motivated …

This study focuses on optimizing and designing the Delayed-Fix-Later Awaiting
Transmission Encoding (DEFLATE) algorithm to enhance its compression performance and …

Traditional discrete orthogonal transforms often introduce reconstruction errors, hindering
their use in digital signal processing applications requiring exact signal recovery. To …

This study investigates the influence of various parameters such as the Grashof number,
corrected Grashof number, permeability of the porous material, angle of inclination …