Deep learning (DL) is a subdivision of machine learning (ML) that employs numerous
algorithms, each of which provides various explanations of the data it consumes; mobile ad …

Routing packets in a Wireless Sensor Network (WSN) is a challenging task, according to the
limited resources available on the nodes of these networks, especially their energy sources …

Today's mobile communication networking technology is people-centric revolution that
means the people put in the center and build the devices network to fulfill the people …

This paper discusses the significance of Wireless Sensor Networks (WSNs) in collecting
critical data from various environments, highlighting the challenges presented by the limited …

In this paper, we address the several issues and challenges for applying machine learning
and deep learning techniques in wireless networks. Designing the machine learning base …

With the advancement of Internet of Things (IoT), the devices are allowed to interact with
other networks like mobile ad hoc network (MANET). The MANET‐IoT systems often …

In this paper, we address the several issues and challenges for applying machine learning
and deep learning techniques in wireless networks. Designing the machine learning base …

Abstract Wireless Sensor Networks has fascinated a number of research scholars because
of its wide applications and potential scope of improvement. In a Wireless Sensor Network …

With achievements of Machine learning over the past years many computer networks and
artificial intelligence actively using Machine learning architecture and its technology to …

The procedure of identifying a path between the source node and the target node in the
mobile ad hoc networks, also known as MANETs is considered research open area for many …