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 …

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

The wireless networks of the future generation are evolved as complex systems due to
broadening in service prerequisites, application heterogeneity and networking of gadgets. In …

The rapid advances in wireless communication technology has led to an extraordinary
progress in the adhoc type of networking. The mobile adhoc networks being a subtype of the …

In both the military and the civilian sectors, next-generation wireless networks can be
employed for a wide range of intricate and adaptive applications. It is possible that …

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 is a technique used for choosing the best network's path and forwarding the data
over the selected path. This paper investigates the enhanced routing algorithms for …

MANETs are gathering of wireless devices which vigorously make an ad hoc network in
many conditions as adversity release, vital consultation or military assignment even …

Due to the advancement in technologies, the next-generation wireless network will be very
diverse, complicated, and according to the changed demands of the consumers. The current …