The purpose of this paper is to investigate a new method for EEG signals classification. A
powerful method for detecting these signals can greatly contribute to areas such as making …

Synchronization of two neural networks through mutual learning is used to exchange the key
over a public channel. In the absence of a weight vector from another party, the key …

In this study, a deep quantum neural network (DQNN) based on the Lion-based Coot
algorithm (LBCA-based Deep QNN) is employed to predict COVID-19. Here, the genome …

Advancements in technology have led to dramatic development in the healthcare industry
leading to rising demand for better data security and privacy. The medical field is …

An increase in greenhouse gases emission from the transportation sector has led
companies and the government to elevate and support the production of electric vehicles …

Blockchain dominion runs parallel to the abstractness in trust that serves the best feature in
the modern world. Technology remains well connected to data migration that is in a way the …

The estimation of the channel in multiple input multiple output (MIMO) systems over wireless
communication has faced many challenges, such as high bit rate transmission with less time …

Current mechanization has motivated innumerable segments of our day-to-day existence.
With the development of Information and Communication Technologies (ICTs), smart …

In this paper, CMOS technology-based neural session key generation is proposed for
integration with the Internet-of-Things (IoT) to enhancing security. Recent technological …

In recent years how the engineer plays a vital role in the biomedical field for medical
diagnosis is conferred in this article related to Anesthesia drug. The amount of anesthesia …