Abstract Artificial Intelligence (AI) realizes Wireless Sensor Networks (WSNs) as a dynamic
environment of battery-powered sensor nodes. These nodes are carefully built to monitor …

This paper explores the transformative integration of deep learning applications in the
deployment of Wireless Sensor Networks (WSNs). As WSNs continue to play a pivotal role in …

In recent years, the proliferation of deep learning (DL) techniques has given rise to a
significant challenge in the form of deepfake videos, posing a grave threat to the authenticity …

The appeal of portable electronics, embedded systems, and other smart devices has been
steadily growing over time. The multi-valued logic (MVL) was primarily introduced to handle …

The latest developments in the industrial Internet of things (IIoT) have opened up a collection
of possibilities for many industries. To solve the massive IIoT data security and efficiency …

Network architects and engineers face challenges in meeting the increasing complexity and
low‐latency requirements of various services. To tackle these challenges, multi‐access …

Complex network analysis is inspired by empirical studies of real-world networks such as
computer networks, technology networks and social networks. The analysis of community …

The rapid expansion of the digital economy has had a transformative impact on society,
presenting both opportunities and challenges. This article aims to examine the structure of …

Wireless sensor networks have become incredibly popular due to the Internet of Things'(IoT)
rapid development. IoT routing is the basis for the efficient operation of the perception-layer …

Edge nodes, which are expected to grow into a multi-billion-dollar market, are essential for
detection against a variety of cyber threats on Internet-of-Things endpoints. Adopting the …