Wireless sensor network (WSN) represents a multi-hop wireless network which comprises of
multiple sensor nodes which cooperates with one another in a self-organized manner. This …

Metaheuristic algorithms are well-known and widely used strategies for tackling optimization
issues. Each has advantages and limitations and is frequently combined with other …

The introduction of the Internet of Things has led to the connectivity of millions of devices
with less human interaction. This demand in connectivity has resulted in a surge in network …

The advancement of 5G technology has enabled the IIoT (Industrial Internet of Things) to
integrate artificial intelligence, cloud computing, and edge computing in real-time, leading to …

Among various feature selection methods proposed in literature, meta-heuristic algorithms
as a wrapper-based method are widely used in feature subset selection problems. The …

Abstract Wireless Sensor Networks (WSNs) are widely studied for their data collection and
monitoring capabilities across diverse applications. However, the limited energy resources …

In network intrusion detection, graph neural networks (GNNs) have gained remarkable
attention in addressing cybersecurity threats. This research addresses the growing …

The present study suggests a statistical Machine learning method to predict gender based
on facial features using different facial features of a person. The dataset contains eight …

Abstract Wireless Sensor Networks (WSN) offers an extensive array of possibilities and finds
application to nearly every wake of human lifetime. Two of the methods are intrusion …

The expansion of the internet has not only opened up new possibilities for cooperation,
networking, and ingenuity, but also presented fresh security hazards and complexities. As …