Knowledge-Defined Networking (KDN) necessarily consists of a knowledge plane for the
generation of knowledge, typically using machine learning techniques, and the …

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

This review article offers a comprehensive analysis of current developments in the
application of machine learning for cancer diagnostic systems. The effectiveness of machine …

In the realm of consumer electronics for 6G communication, AI has emerged as a significant
player. However, the proliferation of devices at the edge of network causes the generation of …

With the increasing growth rate of smart home devices and their interconnectivity via the
Internet of Things (IoT), security threats to the communication network have become a …

The Internet of Things (IoT) refers to a technology enabler to enhance the urban physical
architecture and render public services. But, public access to accumulated heterogeneous …

Currently, with the rapid development of smart home technology, the demand for
establishing efficient and sustainable smart home systems in rural areas is increasing …

AI has changed many industries, including healthcare, by giving doctors and researchers
better ways to predict and diagnose diseases. But the lack of transparency in AI models …

The fast development of smart home devices and the Internet of Things (IoTs) presents
unprecedented accessibility into our day-to-day lives; however, it has also increased major …

The rapid expansion of the Internet of Things (IoT) on a global scale has facilitated the
convergence of revolutionary technologies such as artificial intelligence (AI), blockchain …