In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …

With the rapid development of the Internet of Everything (IoE), the number of smart devices
connected to the Internet is increasing, resulting in large-scale data, which has caused …

With the emergence of mobile computing offloading paradigms, such as mobile-edge
computing (MEC), many Internet of Things applications can take advantage of the computing …

Cloud computing has become integral lately due to the ever-expanding Internet-of-things
(IoT) network. It still is and continues to be the best practice for implementing complex …

Abstract While Vehicular Ad-hoc Network (VANET) is developed to enable effective vehicle
communication and traffic information exchange, VANET is also vulnerable to different …

The rapid growth of IoT devices leads to increasing requests. These tremendous requests
cannot be processed by IoT devices due to the computational power of IoT devices and the …

The application of artificial intelligence (AI) technology in the medical field has experienced
a long history of development. In turn, some long-standing points and challenges in the …

The proliferation of computer-oriented and information digitalisation technologies has
become a hallmark across various sectors in today's rapidly evolving environment. Among …

Today, incorporating advanced machine learning techniques into intrusion detection
systems (IDSs) plays a crucial role in securing mobile edge computing systems. However …

As cloud computing continues to grow, the energy consumption of cloud-edge resources
has become a concern, particularly in terms of cost of energy and environmental effects …