Currently various sectors are growing due to the continuous rise of technological
development. Thus the use of machinery has increased and the use of humans has …

This research examines a technique for lossless pixel-by-pixel image compression that can
be learned by using reinforcement learning based image compression (RLIC). It is shown …

The implementation of quantum learning strategies is turning out to be increasingly crucial.
When it comes to cybersecurity, one of the key benefits of using machine learning is that it …

Recently, social media has arisen not only as a personal communication media, but also, as
a media to communicate opinions about products and services or even political and general …

Cervical cancer is the biggest cause of death in the field of women gynaecology. Patient
treatment outcomes are influenced by the stage and nodal status of their cancers as well as …

In this paper, we develop a liveness detection of iris present in the study to reduce various
spoofing attacks using gray-level co-occurrence matrix (GLCM) and Deep Learning (DL) …

An attack on the network presents a potential risk to the integrity of the network security,
which may or may not occur. As the field of quantum machine learning has made rapid …

Abstract The advent of Computer-Aided Design (CAD) has brought about a significant
transformation in the realm of design, facilitating the efficient and accurate development of …

The chapter discusses the fault-tolerant mechanism using quantum computing that uses
error reduction codes to reduce the possible faults. Building the circuits that make up a …

Abstract Software-Defined Networking (SDN) offers flexibility and programmability in
network management, but efficient resource allocation remains a challenge due to dynamic …