The complexity of engineering optimization problems is increasing. Classical gradient-
based optimization algorithms are a mathematical means of solving complex problems …

In this paper, we propose hybrid consensus algorithms that combine machine learning (ML)
techniques to address the challenges and vulnerabilities in blockchain networks …

Abstract The Internet of Things encompasses applications such as ecological, medicinal,
and defense surveillance that need real-time data collecting and standardization. Wireless …

Recently, wireless sensor networks (WSNs) and Internet of Things (IoTs) have emanated as
an indispensable assets that play a critical role in revolutionizing the field of data …

Mobile ad hoc network (MANET) is a set of mobile nodes that communicate via wireless
networks while moving from one place to another. Numerous studies have been done on …

For the past few years, centralized decision-making is being used for malicious node
identification in wireless sensor networks (WSNs). Generally, WSN is the primary technology …

This work introduces a fire Management system to track different kinds of fire attacks across
industries. While traditional research mostly focuses on creating fire sensing. Fire alarm …

Abstract Wireless Sensor Networks (WSNs) have gained substantial prominence in various
applications, like healthcare, and surveillance due to its data gathering ability. Effective data …

Wireless sensor networks comprise of unattended little sensor hubs having low energy and
low scope of correspondence. Machine learning has demonstrated its effectiveness in …

One of the key strategies in wireless sensor network (WSN) for sending data packets to the
base station (BC) is known as routing. However, malicious node outbreaks will occur, which …