Images are now employed as data in a variety of applications, including medical imaging,
remote sensing, pattern recognition, and video processing. Image compression is the …

The goal of the research was to study the possibility of using the planned language
Esperanto for text compression, and to compare the results of the text compression in …

Neural machine translation, which has an encoder-decoder framework, is considered to be
a feasible way for future machine translation. Nevertheless, with the fusion of multiple …

The development of data storage hardware is very rapidly over time. In line with the
development of storage hardware, the amount of digital data shared on the internet is …

Machine Learning (ML) is a technology to make messages created by humans (text, images,
speech etc.) more understandable for computers so that they could better answer humans' …

Delivery costs, low latency, and streaming at scale are key challenges in driving the
technical development of the video industry. Improvements in video coding are always …

Due to the increase in the growth of data in this era of the digital world and limited resources,
there is a need for more efficient data compression techniques for storing and transmitting …

Recently, compressing data and reducing its size without reducing the quality of the
transmitted information has become one of the main tasks of source coding. Many …

Data compression is a critical procedure in computer science that aims to minimize the size
of data files while maintaining their vital information. It is extensively utilized in Numerous …

The Internet revolution facilitated digital communication; nevertheless, it raised problems
and challenges for securing data across an open network. Steganography is one of the most …