Abstract: Three-variable chaotic synchronization has been implemented based on DNA chemical reaction networks (CRNs) in previous works. However, it is still difficult to realize the encryption and ...
Abstract: Brain-computer interface (BCI) technology has emerged as a transformative means to link human neural activity with electronic devices. BCIs, which facilitate bidirectional communication ...
Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...
This scheme is a research-based implementation aimed at enhancing data security through attribute-based encryption with partial decryption capabilities. This project leverages advanced cryptographic ...
A cost-effective solution with less human involvement must be developed for medical waste (MW) transportation. A learning-based coordinated unmanned aerial vehicle–unmanned ground vehicle (UAV–UGV) ...
Introduction: Internet of things (IoT) compose of million of devices connected together over the internet. IoT plays a vital role now a days and especially in future, the most of the monitoring and ...
Each year, students in the Saint Louis University School of Science and Engineering participate in research and design capstone experiences. At the SSE Undergraduate Showcase, students present posters ...
Department of Chemistry, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan45137-66731, Iran ...
Nowadays, a large number of digital data are transmitted worldwide using wireless communications. Therefore, data security is a significant task in communication to prevent cybercrimes and avoid ...